Triple
T34302437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Syndicate |
E880216
|
entity |
| Predicate | statusInRogueNation |
P199683
|
FINISHED |
| Object | primary antagonist |
—
|
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: primary antagonist | Statement: [the Syndicate, statusInRogueNation, primary antagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInRogueNation Context triple: [the Syndicate, statusInRogueNation, primary antagonist]
-
A.
statusInRogueOne
Indicates the role or condition an entity has specifically within the context of the film "Rogue One," such as whether and how it appears or participates in that storyline.
-
B.
statusInMissionImpossibleFallout
Indicates the role, condition, or outcome of an entity within the context of the film "Mission: Impossible – Fallout."
-
C.
statusInColumbo
Indicates that an entity holds a particular status, role, or condition specifically within the context of Columbo.
-
D.
statusInAliens
Indicates the status or condition an entity holds within the context of aliens or an alien-related domain.
-
E.
statusInTheBookOfBobaFett
Indicates the status or condition of an entity as depicted within the context of *The Book of Boba Fett* series.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff4fc6077c8190b8fd9b43fcfde986 |
completed | May 9, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69ff4e61fb648190a72f7918961ece9c |
completed | May 9, 2026, 3:10 p.m. |
| PDg | Predicate description generation | batch_69ff4fc5289c819084abd5ede185e96b |
completed | May 9, 2026, 3:16 p.m. |
Created at: May 1, 2026, 1:57 a.m.