Triple
T15136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudine Gay |
E302
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gay
Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
|
E1570
|
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: Gay | Statement: [Claudine Gay, familyName, Gay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gay Context triple: [Claudine Gay, familyName, Gay]
-
A.
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.
-
B.
Ayer
Ayer is a small town in north-central Massachusetts that functions as a regional commuter hub with rail connections to Boston.
-
C.
You
"You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
-
D.
Benny Beaver
Benny Beaver is the costumed beaver mascot representing Oregon State University at its athletic events and school functions.
-
E.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
- 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: Gay Triple: [Claudine Gay, familyName, Gay]
Generated description
Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gay Target entity description: Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
A.
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.
-
B.
Ayer
Ayer is a small town in north-central Massachusetts that functions as a regional commuter hub with rail connections to Boston.
-
C.
You
"You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
-
D.
Benny Beaver
Benny Beaver is the costumed beaver mascot representing Oregon State University at its athletic events and school functions.
-
E.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a2400257208190b3cd87ad2a06c18f |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248e572f08190b52158e063a066bf |
completed | Feb. 28, 2026, 1:46 a.m. |
| NEDg | Description generation | batch_69a2497d04248190a0a9037f79a932ef |
completed | Feb. 28, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a249dbe1108190a2a844ba4e570fea |
completed | Feb. 28, 2026, 1:50 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.