Triple
T9742513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sundance Kid |
E236221
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Harry
Harry is the given first name of the American outlaw better known by his nickname, the Sundance Kid.
|
E817571
|
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: Harry | Statement: [Sundance Kid, givenName, Harry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Context triple: [Sundance Kid, givenName, Harry]
-
A.
Harry
Harry is the given name of Harry Augustus Garfield, an American lawyer, academic, and public official who served as the first head of the U.S. Fuel Administration during World War I.
-
B.
Harry
Harry is the given name of Harry F. Byrd Sr., a prominent 20th-century American politician and long-serving U.S. Senator from Virginia.
-
C.
Harry
Harry is the given name of Harry Nyquist, a pioneering engineer and physicist known for foundational contributions to information theory and telecommunications.
-
D.
Harry
Harry is the given name of Harry A. Blackmun, an American jurist who served as an Associate Justice of the U.S. Supreme Court.
-
E.
Harry
Harry is the given first name of legendary American and Canadian football coach Bud Grant, who led the Minnesota Vikings to multiple Super Bowl appearances.
- 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: Harry Triple: [Sundance Kid, givenName, Harry]
Generated description
Harry is the given first name of the American outlaw better known by his nickname, the Sundance Kid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Target entity description: Harry is the given first name of the American outlaw better known by his nickname, the Sundance Kid.
-
A.
Harry
Harry is the given first name of the famed American singer and actor Bing Crosby.
-
B.
Harry
Harry is the nickname of Harry Karstens, the American outdoorsman and guide best known as the first superintendent of Denali National Park and a key figure in the first successful ascent of Denali.
-
C.
Harry
Harry is the given first name of American basketball player and coach Buddy Jeannette.
-
D.
Harry
Harry is the given name of American character actor and musician Harry Dean Stanton, known for his distinctive roles in film and television.
-
E.
Harry
Harry is the nickname of Harry Belafonte, the influential American singer, actor, and civil rights activist known as the "King of Calypso."
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2cb7008190a829a03114d6c704 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1aff2339c8190b164b13b54a40cec |
completed | April 5, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d1b08ba1f48190830852f9d60e3368 |
completed | April 5, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b12cff6c81909e0c92f3d603566f |
completed | April 5, 2026, 12:47 a.m. |
Created at: March 30, 2026, 8:23 p.m.