Triple
T29613968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ER universe |
E754807
|
entity |
| Predicate | hasNarrativeFormat |
P35682
|
FINISHED |
| Object | ensemble cast |
—
|
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: ensemble cast | Statement: [ER universe, hasNarrativeFormat, ensemble cast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNarrativeFormat Context triple: [ER universe, hasNarrativeFormat, ensemble cast]
-
A.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
B.
narrativeFormat
chosen
Indicates the specific structural or stylistic form in which a narrative is presented or expressed.
-
C.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
D.
hasAbstractNarrative
Indicates that an entity is associated with a non-literal, conceptual, or symbolic narrative rather than a concrete, straightforward account.
-
E.
hasNarrativeSegments
Indicates that an entity is composed of or associated with multiple distinct narrative segments or sections.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 28, 2026, 6:30 p.m.