Triple
T22756001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gracie Hart |
E562843
|
entity |
| Predicate | hasColleague |
P398
|
FINISHED |
| Object | Victor Melling |
E1128380
|
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: Victor Melling | Statement: [Gracie Hart, hasColleague, Victor Melling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victor Melling Context triple: [Gracie Hart, hasColleague, Victor Melling]
-
A.
Victor Melling
chosen
Victor Melling is a refined, exacting beauty pageant coach and mentor featured in the comedy film "Miss Congeniality."
-
B.
Jack Mills
Jack Mills was a British librarian and information scientist known for his influential work in classification theory and library cataloguing systems.
-
C.
Michael J. Foreman
Michael J. Foreman is a retired NASA astronaut and former U.S. Navy captain who flew on multiple Space Shuttle missions to the International Space Station.
-
D.
Robert Courter
Robert Courter is a test pilot known for flying the experimental Bell Rocket Belt jetpack.
-
E.
John Gossage
John Gossage is an American photographer and photobook artist known for his evocative black-and-white images of urban landscapes and overlooked environments.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b98150cfc8190a3530e51f0311e33 |
completed | May 18, 2026, 10:52 p.m. |
Created at: April 17, 2026, 3:25 p.m.