Triple
T31711555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikki Gardner |
E809333
|
entity |
| Predicate | partOfSeriesCast |
P200004
|
FINISHED |
| Object | The Exes 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: The Exes cast | Statement: [Nikki Gardner, partOfSeriesCast, The Exes cast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfSeriesCast Context triple: [Nikki Gardner, partOfSeriesCast, The Exes cast]
-
A.
partOfCastOfFictionalWork
Indicates that an entity is a member of the cast (e.g., actor or character) involved in a particular fictional work.
-
B.
hasPartInFilmSeries
Indicates that an entity participates in or contributes to one or more installments within a specific film series.
-
C.
partOfCastEnsembleWith
Indicates that two or more performers are members of the same cast ensemble in a shared production.
-
D.
partOfSeriesWith
Indicates that one entity is a member or installment within the same series as another entity, linking them as related parts of a larger sequence or collection.
-
E.
includesCastMembersFrom
Indicates that one entity’s cast list contains one or more cast members who also appear in the cast list of another 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69ff6a4c32dc819097f591944bee8851 |
completed | May 9, 2026, 5:09 p.m. |
Created at: April 30, 2026, 11:15 p.m.