Triple
T35709405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un bon bock |
E1031810
|
entity |
| Predicate | firstScreeningVenue |
P51034
|
FINISHED |
| Object | Musée Grévin |
E1031811
|
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: Musée Grévin | Statement: [Un bon bock, firstScreeningVenue, Musée Grévin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstScreeningVenue Context triple: [Un bon bock, firstScreeningVenue, Musée Grévin]
-
A.
screeningVenue
chosen
Indicates the place or location where a screening (such as a film or event showing) takes place.
-
B.
firstScreeningLocation
Indicates the location where something (such as a person, item, or case) is initially screened or evaluated for the first time.
-
C.
firstScreeningEvent
Indicates the event representing the earliest or initial screening occurrence associated with an entity.
-
D.
firstTestVenue
Indicates the venue where something (such as an event, performance, or test) was held or conducted for the first time.
-
E.
firstODIVenue
Indicates that the subject is the venue where an ODI (One Day International) cricket match was first held or hosted.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38a4d4365c8190a95590a9dfce92fd |
completed | June 22, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.