Triple
T30614477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarabi (The Lion King, 2019 film) |
E779276
|
entity |
| Predicate | roleInPride |
P200164
|
FINISHED |
| Object | queen of the Pride Lands |
—
|
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: queen of the Pride Lands | Statement: [Sarabi (The Lion King, 2019 film), roleInPride, queen of the Pride Lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInPride Context triple: [Sarabi (The Lion King, 2019 film), roleInPride, queen of the Pride Lands]
-
A.
roleAccordingTo
Indicates that an entity holds a particular role or function as defined or interpreted by a specified source or perspective.
-
B.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
-
C.
roleOnPern
Indicates the specific function, position, or duty an entity holds within the context of Pern.
-
D.
roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
-
E.
roleInRepertoire
Indicates that an entity serves a specific role or function within a larger repertoire, collection, or set of items.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff795d25d08190b7584c72be39d309 |
completed | May 9, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69ff78a90fbc8190a62c57456dc1d4ad |
completed | May 9, 2026, 6:10 p.m. |
| PDg | Predicate description generation | batch_69ff795c702c8190b00844407f2882af |
completed | May 9, 2026, 6:13 p.m. |
Created at: April 29, 2026, 8:26 p.m.