Triple
T7139021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How |
E166391
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Roxane Gay |
E9515
|
NE FINISHED |
How this triple was built (2 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: Roxane Gay | Statement: [How, author, Roxane Gay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roxane Gay Context triple: [How, author, Roxane Gay]
-
A.
Roxane Gay
chosen
Roxane Gay is an American writer, professor, and cultural critic known for her influential essays and books on feminism, race, body image, and pop culture, including the bestselling memoir "Hunger" and essay collection "Bad Feminist."
-
B.
Anne Napolitano
Anne Napolitano is a character from the film "The Fisher King," involved in the story’s exploration of loneliness, connection, and redemption.
-
C.
Moya Bailey
Moya Bailey is a Black feminist scholar and activist best known for coining the term “misogynoir” to describe the specific hatred directed at Black women.
-
D.
Margo Jefferson
Margo Jefferson is an American cultural critic and author renowned for her incisive writing on race, class, and the arts.
-
E.
Julia Phillips
Julia Phillips was a pioneering American film producer and writer, best known for helping bring landmark 1970s films like "Taxi Driver" and "Close Encounters of the Third Kind" to the screen and for being the first female producer to win a Best Picture Oscar.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e694cc3c81908b0d54c2496a0722 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d37833ec819084035e07fc35198b |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:45 p.m.