Triple
T102257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wally the Green Monster |
E2063
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Tessie
Tessie is a Boston Red Sox mascot character, often depicted as a green monster and associated with Wally the Green Monster.
|
E24750
|
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: Tessie | Statement: [Wally the Green Monster, hasRelative, Tessie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tessie Context triple: [Wally the Green Monster, hasRelative, Tessie]
-
A.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
B.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
C.
Angela
Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
-
D.
Rita
Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
-
E.
Nance
Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
- 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: Tessie Triple: [Wally the Green Monster, hasRelative, Tessie]
Generated description
Tessie is a Boston Red Sox mascot character, often depicted as a green monster and associated with Wally the Green Monster.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tessie Target entity description: Tessie is a Boston Red Sox mascot character, often depicted as a green monster and associated with Wally the Green Monster.
-
A.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
B.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
C.
Angela
Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
-
D.
Rita
Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
-
E.
Nance
Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256a8b6d0819083838a9708759407 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a31155cfe48190927341544078c9ca |
completed | Feb. 28, 2026, 4:01 p.m. |
| NEDg | Description generation | batch_69a313c6cd88819093754d91199660c9 |
completed | Feb. 28, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3142c87ac8190bf110b3b51d9166d |
completed | Feb. 28, 2026, 4:13 p.m. |
Created at: Feb. 28, 2026, 2:12 a.m.