Triple
T31415802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North American film market |
E801389
|
entity |
| Predicate | majorStudioHeadquartersLocation |
P10544
|
FINISHED |
| Object | Los Angeles |
—
|
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: Los Angeles | Statement: [North American film market, majorStudioHeadquartersLocation, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorStudioHeadquartersLocation Context triple: [North American film market, majorStudioHeadquartersLocation, Los Angeles]
-
A.
majorStudio
Indicates that an entity is a large, primary film or media production and distribution company within the entertainment industry.
-
B.
productionCompanyLocation
Indicates the relationship between a production company and the geographic location where it is based or operates.
-
C.
majorCompanyHeadquartered
Indicates that a company is a primary or significant corporate entity whose main headquarters is located in a specified place.
-
D.
employerHeadquarters
chosen
Indicates the location where an employer’s main corporate offices or central administrative operations are based.
-
E.
associationHeadquarters
Indicates the location where an association’s main administrative offices or central headquarters are based.
- F. None of above.
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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: April 30, 2026, 8:43 p.m.