Triple

T7915036
Position Surface form Disambiguated ID Type / Status
Subject Hamilton Luske E183799 entity
Predicate workedOn P3 FINISHED
Object Pinocchio E60052 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: Pinocchio | Statement: [Hamilton Luske, workedOn, Pinocchio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinocchio
Context triple: [Hamilton Luske, workedOn, Pinocchio]
  • A. Pinocchio chosen
    Pinocchio is a classic animated film and character from Disney’s early feature-length productions, telling the story of a wooden puppet who dreams of becoming a real boy.
  • B. The Adventures of Pinocchio
    "The Adventures of Pinocchio" is an 1883 Italian children's novel by Carlo Collodi that tells the story of a mischievous wooden puppet who dreams of becoming a real boy.
  • C. Dumbo
    Dumbo is the nickname of the Curtiss C-46 Commando, a World War II-era American military transport aircraft known for its large cargo capacity and service in challenging flying conditions.
  • D. Il Poverello
    Il Poverello is an honorific nickname for Francis of Assisi that emphasizes his radical embrace of poverty and humility.
  • E. Pinocchio (Shrek)
    Pinocchio (Shrek) is the wooden puppet character from the Shrek film series, portrayed as a comically honest-yet-lying fairy-tale figure whose nose grows whenever he lies.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdff156c481909a32be8828f407ad completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:05 p.m.