Triple
T2553468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starbuck |
E56678
|
entity |
| Predicate | fears |
P7327
|
FINISHED |
| Object | Ahab’s vengeance against the white whale |
—
|
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: Ahab’s vengeance against the white whale | Statement: [Starbuck, fears, Ahab’s vengeance against the white whale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fears Context triple: [Starbuck, fears, Ahab’s vengeance against the white whale]
-
A.
notableFear
chosen
Indicates that one entity is especially afraid of, or has a significant fear related to, another entity.
-
B.
feels
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
-
C.
fires
Indicates that an agent initiates the discharge or ignition of something, such as a weapon, engine, or explosive device, causing it to operate or go off.
-
D.
concern
Indicates that one entity is about, relates to, or is of interest or importance to another entity.
-
E.
aftershocks
Indicates that one seismic event occurs as a subsequent, typically smaller tremor following a main earthquake.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.