Triple
T32877144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vulcan fight theme |
E840957
|
entity |
| Predicate | hasNotableSceneElement |
P3574
|
FINISHED |
| Object | use of Vulcan ceremonial gong |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: use of Vulcan ceremonial gong | Statement: [Vulcan fight theme, hasNotableSceneElement, use of Vulcan ceremonial gong]
Provenance (2 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_6a0163808ff881909cc0fa06ad6d0a0d |
completed | May 11, 2026, 5:05 a.m. |
Created at: May 1, 2026, 1:18 a.m.