Triple
T29076497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allison Anders |
E735953
|
entity |
| Predicate | hasPartInAnthologyFilm |
P81123
|
FINISHED |
| Object | Four Rooms |
—
|
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: Four Rooms | Statement: [Allison Anders, hasPartInAnthologyFilm, Four Rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInAnthologyFilm Context triple: [Allison Anders, hasPartInAnthologyFilm, Four Rooms]
-
A.
isAnthologySegmentOf
chosen
Indicates that one work or segment is a constituent part or episode within a larger anthology work.
-
B.
hasPartInFilmSeries
Indicates that an entity participates in or contributes to one or more installments within a specific film series.
-
C.
hasPartInCreativeOutput
Indicates that an entity contributed a component, role, or involvement to the creation or production of a particular creative work.
-
D.
includedInFilm
Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
-
E.
distributorOfAnthologyFilm
Indicates that an entity serves as the distributor responsible for releasing or circulating an anthology film.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 28, 2026, 10:23 a.m.