Triple
T25186665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enterprise NX-01 |
E630735
|
entity |
| Predicate | firstOfficerSpecies |
P180686
|
FINISHED |
| Object | Vulcan |
—
|
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: Vulcan | Statement: [Enterprise NX-01, firstOfficerSpecies, Vulcan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOfficerSpecies Context triple: [Enterprise NX-01, firstOfficerSpecies, Vulcan]
-
A.
captainSpecies
Indicates that a given species serves as the captain or commanding leader in relation to another entity or context.
-
B.
leaderSpecies
Indicates that one species serves as the leader or dominant guiding species in relation to another species.
-
C.
firstOfficer
Indicates that one entity serves as the first officer (second-in-command) to another entity, typically in a hierarchical or command structure.
-
D.
firstOwnerSpecies
Indicates that the subject is the species of the entity that originally owned or possessed the object.
-
E.
firstOfSpeciesIn
Indicates that an entity is the earliest or original member of its species to appear or occur within a specified context, location, or timeframe.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
| PDg | Predicate description generation | batch_69f74c6fa6548190b03935f65429a24e |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 21, 2026, 12:44 p.m.