Triple
T21649512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wars with Aram-Damascus |
E534298
|
entity |
| Predicate | involvesRuler |
P8405
|
FINISHED |
| Object | Ahab |
—
|
NE NERFINISHED |
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 | Statement: [Wars with Aram-Damascus, involvesRuler, Ahab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahab Context triple: [Wars with Aram-Damascus, involvesRuler, Ahab]
-
A.
Ahab
chosen
Ahab is a biblical king of Israel known for his wicked reign, idolatry, and conflict with the prophet Elijah.
-
B.
Captain Ahab
Captain Ahab is the obsessive, vengeful whaling ship captain in Herman Melville’s novel "Moby-Dick," driven to ruin by his monomaniacal pursuit of the white whale.
-
C.
Richard Parker
Richard Parker is the Bengal tiger who becomes the central animal companion and symbolic figure in Yann Martel’s novel *Life of Pi*.
-
D.
Richard Parker
Richard Parker is a scientist and the father of Peter Parker in the Spider-Man comics and films, whose mysterious past often plays a key role in Peter’s origin story.
-
E.
Richard Parker
Richard Parker is a British Labour politician who serves as the Mayor of the West Midlands, overseeing regional governance and economic development in the area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59131c88819082df8e5b87f5954b |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:35 p.m.