Triple
T6992612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurer |
E162119
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tracy Maurer
Tracy Maurer is an author best known for her nonfiction and biographical books for children and young adults.
|
E685257
|
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: Tracy Maurer | Statement: [Maurer, hasNotableBearer, Tracy Maurer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Maurer Context triple: [Maurer, hasNotableBearer, Tracy Maurer]
-
A.
Tracy Reiner
Tracy Reiner is an American actress known for her roles in films such as "A League of Their Own" and "When Harry Met Sally...."
-
B.
Tracy Benchley
Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
-
C.
Tracy Wolfson
Tracy Wolfson is an American sportscaster best known as a longtime CBS Sports sideline reporter for NFL and college basketball coverage.
-
D.
Tracy Gershon
Tracy Gershon is an American music industry executive and talent scout known for her work in country music and artist development.
-
E.
Tracey Walter
Tracey Walter is an American character actor known for his quirky, offbeat supporting roles in films such as "Repo Man," "Batman" (1989), and numerous collaborations with director Jonathan Demme.
- 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: Tracy Maurer Triple: [Maurer, hasNotableBearer, Tracy Maurer]
Generated description
Tracy Maurer is an author best known for her nonfiction and biographical books for children and young adults.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tracy Maurer Target entity description: Tracy Maurer is an author best known for her nonfiction and biographical books for children and young adults.
-
A.
Tracy Reiner
Tracy Reiner is an American actress known for her roles in films such as "A League of Their Own" and "When Harry Met Sally...."
-
B.
Tracy Benchley
Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
-
C.
Tracy Wolfson
Tracy Wolfson is an American sportscaster best known as a longtime CBS Sports sideline reporter for NFL and college basketball coverage.
-
D.
Tracy Gershon
Tracy Gershon is an American music industry executive and talent scout known for her work in country music and artist development.
-
E.
Tracey Walter
Tracey Walter is an American character actor known for his quirky, offbeat supporting roles in films such as "Repo Man," "Batman" (1989), and numerous collaborations with director Jonathan Demme.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbc30fdc81909244d83c8178755c |
completed | March 27, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4de5bc08190a569701311631bd3 |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8bb0d411881909cf49d1ccc59d9b7 |
completed | March 29, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8bb5eeb3c81908b08a6396e8a01ab |
completed | March 29, 2026, 5:40 a.m. |
Created at: March 27, 2026, 2:32 p.m.