Triple
T6846132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chaplin Revue |
E157898
|
entity |
| Predicate | featuresTitleCards |
P73482
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Chaplin Revue, featuresTitleCards, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTitleCards Context triple: [The Chaplin Revue, featuresTitleCards, yes]
-
A.
titles
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
B.
titleIIFocus
Indicates that the primary focus or subject of a Title II–related provision, requirement, or classification is the referenced entity.
-
C.
featuresStar
Indicates that one entity prominently includes or showcases another entity as a main star or featured performer.
-
D.
providedTitle
Indicates that one entity has supplied or assigned a specific title or designation to another entity.
-
E.
titleRepresents
Indicates that a given title stands for, denotes, or symbolizes a particular concept, role, work, or entity.
- F. None of above. chosen
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_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. |
| PDg | Predicate description generation | batch_69c6d623aba88190a93ec9c83508c960 |
completed | March 27, 2026, 7:10 p.m. |
Created at: March 27, 2026, 2:20 p.m.