Triple
T21431781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henrietta Wilson |
E528704
|
entity |
| Predicate | closeColleague |
P11349
|
FINISHED |
| Object |
Michael Grant
Michael Grant is a professional associate of Henrietta Wilson, known primarily through his close working relationship with her.
|
E1483388
|
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: Michael Grant | Statement: [Henrietta Wilson, closeColleague, Michael Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Grant Context triple: [Henrietta Wilson, closeColleague, Michael Grant]
-
A.
Michael Grant
Michael Grant is a relatively private individual best known in public records as the former husband of Athena Grant.
-
B.
Michael Grant
Michael Grant is an American rock guitarist and singer best known for his work with the hard rock band L.A. Guns.
-
C.
Austin Grossman
Austin Grossman is an American novelist and video game designer known for his work on narrative-driven games such as System Shock, Deus Ex, and Dishonored.
-
D.
Patrick Ness
Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
-
E.
Greg Grabianski
Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
- 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: Michael Grant Triple: [Henrietta Wilson, closeColleague, Michael Grant]
Generated description
Michael Grant is a professional associate of Henrietta Wilson, known primarily through his close working relationship with her.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Grant Target entity description: Michael Grant is a professional associate of Henrietta Wilson, known primarily through his close working relationship with her.
-
A.
Michael Grant
Michael Grant is a relatively private individual best known in public records as the former husband of Athena Grant.
-
B.
Michael Grant
Michael Grant is an American rock guitarist and singer best known for his work with the hard rock band L.A. Guns.
-
C.
Austin Grossman
Austin Grossman is an American novelist and video game designer known for his work on narrative-driven games such as System Shock, Deus Ex, and Dishonored.
-
D.
Patrick Ness
Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
-
E.
Greg Grabianski
Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3ec70f08190b84c4f747cfb290f |
completed | April 22, 2026, 11:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2ae19a08190bdb9c07c31751bf4 |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c36e90dc8190b5628ddef17c9796 |
completed | May 17, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c3e4d2c881908b3438eebbd409f0 |
completed | May 17, 2026, 1:34 p.m. |
Created at: April 16, 2026, 5:49 p.m.