Triple
T37083825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Laure de Noailles |
E918227
|
entity |
| Predicate | supportedFilmmaker |
P78082
|
FINISHED |
| Object | Luis Buñuel |
E42968
|
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: Luis Buñuel | Statement: [Marie-Laure de Noailles, supportedFilmmaker, Luis Buñuel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedFilmmaker Context triple: [Marie-Laure de Noailles, supportedFilmmaker, Luis Buñuel]
-
A.
supportedActor
Indicates that one entity provided assistance, resources, or endorsement to another entity (the supported actor).
-
B.
supportingMusicians
Indicates a relationship where one or more musicians provide accompaniment, reinforcement, or auxiliary performance support to another primary musical act or musician.
-
C.
sponsorTo
chosen
Indicates that one entity provides support, funding, or endorsement to another entity, typically to enable or promote the latter’s activities or initiatives.
-
D.
supportedAct
Indicates that one entity provided assistance, endorsement, or backing for a particular action or activity performed by another entity.
-
E.
supportSeriesOf
Indicates a relationship where one entity provides ongoing backing or assistance to a sequence or set of related actions, events, or items.
- F. None of above.
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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3f6a0af49481908c7f858a0738311e |
completed | June 27, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.