Triple
T78396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxane Gay |
E1570
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gay |
E1570
|
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: Gay | Statement: [Roxane Gay, familyName, Gay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gay Context triple: [Roxane Gay, familyName, Gay]
-
A.
Gay
chosen
Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
B.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
C.
Sununu
Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
-
D.
MAN
MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
-
E.
Singel
Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f30e5848190a8edcb37c356ce0a |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255522b0081909f8a02667108a6d3 |
completed | Feb. 28, 2026, 2:39 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.