Triple
T32876959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T’Pau (Star Trek character) |
E840953
|
entity |
| Predicate | ceremonyTypeOfficiated |
P175852
|
FINISHED |
| Object | Vulcan marriage ceremony |
—
|
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: Vulcan marriage ceremony | Statement: [T’Pau (Star Trek character), ceremonyTypeOfficiated, Vulcan marriage ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonyTypeOfficiated Context triple: [T’Pau (Star Trek character), ceremonyTypeOfficiated, Vulcan marriage ceremony]
-
A.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
B.
officiatedEvent
Indicates that an entity formally presided over, supervised, or conducted an event in an official capacity.
-
C.
ceremonyPresidedBy
Indicates that a ceremony is overseen, led, or officially conducted by a particular person or authority.
-
D.
hasPublicCeremony
Indicates that a public ceremony is held or conducted in relation to the subject entity.
-
E.
ceremonyLocationType
Indicates the type or category of location where a ceremony takes place.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:18 a.m.