Triple
T6919771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saladin Chamcha |
E160151
|
entity |
| Predicate | hasInternalConflict |
P20436
|
FINISHED |
| Object | rejection of his Indian roots |
—
|
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: rejection of his Indian roots | Statement: [Saladin Chamcha, hasInternalConflict, rejection of his Indian roots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternalConflict Context triple: [Saladin Chamcha, hasInternalConflict, rejection of his Indian roots]
-
A.
hasConflictStatus
Indicates that there exists a state of conflict or dispute associated with the relationship between the involved entities.
-
B.
hasOngoingConflict
Indicates that there is a current, unresolved state of opposition, dispute, or hostilities between the related entities.
-
C.
hasRelatedConflict
Indicates that one entity is associated with another entity through a related or connected conflict, dispute, or incompatibility.
-
D.
hasPrimaryConflictType
Indicates that an entity is associated with its main or most significant type of conflict among possible conflict categories.
-
E.
internalConflict
chosen
Indicates a relationship where an entity experiences opposing desires, beliefs, or motives within itself, leading to psychological or emotional tension.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9f8fc888190949d5779ccbe91e6 |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:26 p.m.