Triple
T16606845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WSF 2011 |
E403465
|
entity |
| Predicate | hasMainActors |
P70647
|
FINISHED |
| Object | civil society organizations |
—
|
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: civil society organizations | Statement: [WSF 2011, hasMainActors, civil society organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainActors Context triple: [WSF 2011, hasMainActors, civil society organizations]
-
A.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
B.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
C.
majorActor
chosen
Indicates that the subject is a primary or leading participant in the action, event, or production involving the object.
-
D.
hasNotableCrewMember
Indicates that an entity is associated with a crew member who is considered notable or distinguished in some way.
-
E.
hasDirectorStar
Indicates that a person both directed and starred in the same work (e.g., film, show, or production).
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36091de048190b40aa42b1a0681cc |
completed | April 18, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.