Triple
T33935336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai Shani |
E870012
|
entity |
| Predicate | sharesTurnerPrizeWith |
P201148
|
FINISHED |
| Object | Lawrence Abu Hamdan |
—
|
NE NERFINISHED |
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: Lawrence Abu Hamdan | Statement: [Tai Shani, sharesTurnerPrizeWith, Lawrence Abu Hamdan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesTurnerPrizeWith Context triple: [Tai Shani, sharesTurnerPrizeWith, Lawrence Abu Hamdan]
-
A.
yearAwardedTurnerPrize
Indicates the specific year in which an entity received the Turner Prize.
-
B.
sharesBookerPrizeWith
Indicates that two entities have both received the Booker Prize, sharing this literary award in common.
-
C.
sharesArtMovementWith
Indicates that two entities are associated with or belong to the same artistic movement or style.
-
D.
baftaFellowshipRecipient
Indicates that a person has been awarded a BAFTA Fellowship honor by the British Academy of Film and Television Arts.
-
E.
sharesPatronageWith
Indicates that two entities are supported, sponsored, or funded by the same patron or sponsoring party.
- F. None of above. chosen
Provenance (4 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
| PDg | Predicate description generation | batch_69ffcc60dae48190b76b3eb7e2ce5103 |
completed | May 10, 2026, 12:08 a.m. |
Created at: May 1, 2026, 1:49 a.m.