Triple
T29427920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nami Melumad |
E746345
|
entity |
| Predicate | hasWorkInFranchise |
P190670
|
FINISHED |
| Object | Star Trek |
—
|
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: Star Trek | Statement: [Nami Melumad, hasWorkInFranchise, Star Trek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkInFranchise Context triple: [Nami Melumad, hasWorkInFranchise, Star Trek]
-
A.
hasItemInFranchise
Indicates that an entity possesses or includes a specific item as part of a larger franchise or branded collection.
-
B.
hasFranchiseConnection
Indicates a relationship where two entities are linked through a franchise arrangement, such as licensing, branding, or operational affiliation within the same franchise system.
-
C.
hadFranchise
Indicates that one entity possessed or operated a franchise right or franchise unit of another entity.
-
D.
hasFranchiseRepresentation
Indicates that one entity serves as an official franchise representative or outlet for another entity.
-
E.
hasFranchiseRole
Indicates that an entity holds a specific role or position within a franchise relationship.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fcce2cf9188190b3f65b362203a6a3 |
completed | May 7, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fccdd2d84481909a7ce22407def9c7 |
completed | May 7, 2026, 5:37 p.m. |
Created at: April 28, 2026, 3:10 p.m.