Triple
T6954243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halston Sage |
E161201
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Halston |
E31725
|
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: Halston | Statement: [Halston Sage, givenName, Halston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halston Context triple: [Halston Sage, givenName, Halston]
-
A.
Halston
Halston is a biographical drama miniseries that chronicles the rise and fall of the iconic American fashion designer Roy Halston Frowick.
-
B.
David Lauren
David Lauren is an American businessman and executive at the fashion company Ralph Lauren, founded by his father Ralph Lauren.
-
C.
Ralph Lauren
Ralph Lauren is an American fashion designer and business executive best known for founding the Ralph Lauren Corporation and its iconic Polo Ralph Lauren brand.
-
D.
Auguste Dubail
Auguste Dubail was a French Army general and senior commander during World War I, known for leading major formations on the Western Front.
-
E.
Halston Sage
chosen
Halston Sage is an American actress best known for her role as Lieutenant Alara Kitan on the science fiction television series "The Orville."
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75883f6888190a75515be49e7879e |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:29 p.m.