Triple
T6846137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chaplin Revue |
E157898
|
entity |
| Predicate | featuresStudio |
P30541
|
FINISHED |
| Object | First National Pictures (original shorts) |
—
|
LITERAL 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: First National Pictures (original shorts) | Statement: [The Chaplin Revue, featuresStudio, First National Pictures (original shorts)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresStudio Context triple: [The Chaplin Revue, featuresStudio, First National Pictures (original shorts)]
-
A.
filmStudioContext
Indicates a relationship where an entity is involved with, produced by, or contextually associated with a particular film studio.
-
B.
filmStudioLot
Indicates a relationship where a film studio owns, operates, or is associated with a specific studio lot or production facility.
-
C.
featuresStar
Indicates that one entity prominently includes or showcases another entity as a main star or featured performer.
-
D.
featuresCast
Indicates that a creative work includes a particular person or group as part of its cast.
-
E.
hasStudio
chosen
Indicates that an entity (such as a film, game, or production) is associated with or produced by a particular studio.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cbe4488190b41ddf953f12f55f |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.