Triple
T35261202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balance of Terror |
E1018373
|
entity |
| Predicate | Mark LenardRole |
P182670
|
FINISHED |
| Object | Romulan Commander |
—
|
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: Romulan Commander | Statement: [Balance of Terror, Mark LenardRole, Romulan Commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Mark LenardRole Context triple: [Balance of Terror, Mark LenardRole, Romulan Commander]
-
A.
performerRole_Denny Laine
Indicates that the entity participated as a performer specifically in the role associated with Denny Laine (e.g., performing parts or functions attributed to Denny Laine).
-
B.
Lincoln Lewis
Indicates a relationship or association involving the entity or name "Lincoln Lewis," such as authorship, participation, or attribution in a given context.
-
C.
Jerry LawsonRole
Indicates that an entity has the role or professional capacity associated with Jerry Lawson.
-
D.
performerRole_Linda McCartney
Indicates that Linda McCartney served in the role of a performer in the referenced context or event.
-
E.
broadwayLeadActor
Indicates that the subject is the principal or starring actor in a Broadway production associated with the object.
- 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_69f76de4be5c8190a51705c07612cac8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.