Triple
T10954808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damn Yankees |
E258816
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Joe Hardy
Joe Hardy is the magically transformed younger alter ego of aging baseball fan Joe Boyd, who becomes a star player for the Washington Senators in the musical "Damn Yankees."
|
E894971
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Joe Hardy | Statement: [Damn Yankees, character, Joe Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Hardy Context triple: [Damn Yankees, character, Joe Hardy]
-
A.
Joe Hardy
Joe Hardy is one of the two teenage brother detectives in the long-running Hardy Boys mystery book series.
-
B.
Sam Hardy
Sam Hardy was an American character actor of the early 20th century, known for his supporting roles in numerous Hollywood films during the 1920s and 1930s.
-
C.
Frank Hardy
Frank Hardy is one of the two teenage brother detectives in the long-running mystery book series "The Hardy Boys."
-
D.
Andy Starke
Andy Starke is a British film producer known for his work on distinctive independent and genre films, including projects with the production company Rook Films.
-
E.
Gary Harkness
Gary Harkness is the introspective college football player and narrator of Don DeLillo’s novel "End Zone," through whom themes of war, language, and existential anxiety are explored.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Joe Hardy Triple: [Damn Yankees, character, Joe Hardy]
Generated description
Joe Hardy is the magically transformed younger alter ego of aging baseball fan Joe Boyd, who becomes a star player for the Washington Senators in the musical "Damn Yankees."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Hardy Target entity description: Joe Hardy is the magically transformed younger alter ego of aging baseball fan Joe Boyd, who becomes a star player for the Washington Senators in the musical "Damn Yankees."
-
A.
Joe Hardy
Joe Hardy is one of the two teenage brother detectives in the long-running Hardy Boys mystery book series.
-
B.
Sam Hardy
Sam Hardy was an American character actor of the early 20th century, known for his supporting roles in numerous Hollywood films during the 1920s and 1930s.
-
C.
Frank Hardy
Frank Hardy is one of the two teenage brother detectives in the long-running mystery book series "The Hardy Boys."
-
D.
Andy Starke
Andy Starke is a British film producer known for his work on distinctive independent and genre films, including projects with the production company Rook Films.
-
E.
Gary Harkness
Gary Harkness is the introspective college football player and narrator of Don DeLillo’s novel "End Zone," through whom themes of war, language, and existential anxiety are explored.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ff718c81909d4baebea3b56b83 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c72196c8190b2336a130b64ab8e |
completed | April 17, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69e24543bd2c8190a3c807baa76c30f6 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e25d11ef24819091e730ae2416a058 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:23 p.m.