Triple

T19674105
Position Surface form Disambiguated ID Type / Status
Subject Ahab of Israel E472408 entity
Predicate name P16 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: [Ahab of Israel, name, Ahab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahab
Context triple: [Ahab of Israel, name, 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416e19d881909248c4f778f7147a completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.