Triple
T366109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Old Man and the Sea |
E7962
|
entity |
| Predicate | centralConflict |
P5022
|
FINISHED |
| Object | Santiago's struggle with a giant marlin |
—
|
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: Santiago's struggle with a giant marlin | Statement: [The Old Man and the Sea, centralConflict, Santiago's struggle with a giant marlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralConflict Context triple: [The Old Man and the Sea, centralConflict, Santiago's struggle with a giant marlin]
-
A.
mainConflict
chosen
Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
-
B.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
C.
endedConflict
Indicates that a previously ongoing conflict between entities has been brought to an end.
-
D.
conflictRole
Indicates that an entity plays a specific role or position within a conflict or dispute between parties.
-
E.
previousConflict
Indicates that a conflict or dispute occurred between the entities at some earlier time prior to the current context.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe7d4d0819083daeb7686ae1914 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95dbb208190b277fc5352a4ee84 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.