Triple
T10716982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather Holley |
E252699
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Heather Holley |
E252699
|
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: Heather Holley | Statement: [Heather Holley, knownAs, Heather Holley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Holley Context triple: [Heather Holley, knownAs, Heather Holley]
-
A.
Heather Holley
Heather Holley is a music producer and songwriter best known for her early development work and collaborations with pop artist Christina Aguilera.
-
B.
Heather Holloway
Heather Holloway is a seductive and ambitious investigative journalist in the satirical film "Thank You for Smoking," who becomes entangled with tobacco lobbyist Nick Naylor while pursuing a career-making exposé.
-
C.
Megan Holley
Megan Holley is an American screenwriter best known for writing the indie dramedy film "Sunshine Cleaning."
-
D.
Emily Hollins
Emily Hollins is known as the sister of English model and actress Agyness Deyn.
-
E.
Heather Thomas
Heather Thomas is an American actress, author, and former television personality best known for her role as Jody Banks on the 1980s TV series "The Fall Guy."
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3566e88190b5c0c6d1b159dd45 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.