Triple
T11333666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Bowen |
E268411
|
entity |
| Predicate | partOfFictionalEnsemble |
P36850
|
FINISHED |
| Object | Royal Wedding cast of characters |
—
|
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: Royal Wedding cast of characters | Statement: [Ellen Bowen, partOfFictionalEnsemble, Royal Wedding cast of characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfFictionalEnsemble Context triple: [Ellen Bowen, partOfFictionalEnsemble, Royal Wedding cast of characters]
-
A.
partOfFictionalGroup
Indicates that an entity belongs to or is a member of a specific fictional group, organization, or team.
-
B.
partOfCastEnsembleWith
chosen
Indicates that two or more performers are members of the same cast ensemble in a shared production.
-
C.
partOfFictionalCommunity
Indicates that one entity belongs to or is a member of a particular fictional community, group, or collective.
-
D.
playedInEnsembleWith
Indicates that one entity has performed together with another as members of the same musical ensemble or group.
-
E.
partOfCreativeUniverse
Indicates that one creative work, element, or concept belongs to or exists within the fictional or artistic universe defined by another.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:33 p.m.