Triple

T3241049
Position Surface form Disambiguated ID Type / Status
Subject Peter Pan E67965 entity
Predicate hasMainCharacter P1183 FINISHED
Object Captain Hook E322666 NE 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: Captain Hook | Statement: [Peter Pan, hasMainCharacter, Captain Hook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Captain Hook
Context triple: [Peter Pan, hasMainCharacter, Captain Hook]
  • A. Captain Hook chosen
    Captain Hook is the villainous, hook-handed pirate captain and archenemy of Peter Pan in J. M. Barrie’s Neverland stories.
  • B. Captain Jack
    Captain Jack was the Modoc leader who commanded his people during the Modoc War against United States forces in the 1870s.
  • C. Long John Silver
    Long John Silver is a cunning, one-legged pirate and master manipulator who serves as the charismatic antihero in Robert Louis Stevenson’s classic adventure novel "Treasure Island."
  • D. Captain Jack Sparrow
    Captain Jack Sparrow is the eccentric, cunning pirate captain and central antihero of Disney’s Pirates of the Caribbean film series.
  • E. Colonel Jack
    "Colonel Jack" is an early 18th-century novel by Daniel Defoe that follows the morally complex life and adventures of a London pickpocket who rises through crime, transportation, and eventual reform.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef6430081909084589f6eea5c7e completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27754492c819099bab9a2a3344561 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.