Triple
T37714778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cypher |
E939428
|
entity |
| Predicate | roleOnKrakoa |
P165140
|
FINISHED |
| Object | primary interpreter of Krakoan language |
—
|
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 interpreter of Krakoan language | Statement: [Cypher, roleOnKrakoa, primary interpreter of Krakoan language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOnKrakoa Context triple: [Cypher, roleOnKrakoa, primary interpreter of Krakoan language]
-
A.
roleOn
chosen
Indicates that an entity holds or performs a specific role or function within another entity, context, or activity.
-
B.
roleRelativeToBlackPanther
Indicates the specific narrative or functional role an entity has in relation to Black Panther (e.g., ally, enemy, family member, or other contextual position).
-
C.
roleInComics
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
-
D.
roleOnPern
Indicates the specific function, position, or duty an entity holds within the context of Pern.
-
E.
roleAccordingTo
Indicates that an entity holds a particular role or function as defined or interpreted by a specified source or perspective.
- F. None of above.
Provenance (3 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:18 p.m.