Triple
T38552103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leon Schlesinger Productions |
E925137
|
entity |
| Predicate | associatedWithStudioLot |
P25830
|
FINISHED |
| Object | Warner Bros. Sunset Boulevard studio |
E343381
|
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: Warner Bros. Sunset Boulevard studio | Statement: [Leon Schlesinger Productions, associatedWithStudioLot, Warner Bros. Sunset Boulevard studio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithStudioLot Context triple: [Leon Schlesinger Productions, associatedWithStudioLot, Warner Bros. Sunset Boulevard studio]
-
A.
associatedWithArtistStudio
Indicates that an entity has a relationship or connection to a particular artist’s studio, such as being located in, created in, or otherwise linked to that studio.
-
B.
filmStudioLot
chosen
Indicates a relationship where a film studio owns, operates, or is associated with a specific studio lot or production facility.
-
C.
hasStudio
Indicates that an entity (such as a film, game, or production) is associated with or produced by a particular studio.
-
D.
hasStudioNumber
Indicates that an entity is associated with a specific studio identification number.
-
E.
collaboratedWithStudio
Indicates that an entity worked together with a studio on a shared project or production.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41e03da4fc8190ae5367e1f51beabe |
completed | June 29, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.