Triple

T15385321
Position Surface form Disambiguated ID Type / Status
Subject Finn E367901 entity
Predicate alias P39 FINISHED
Object Finn unclear NED1 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: Finn | Statement: [Finn, alias, Finn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finn
Context triple: [Finn, alias, Finn]
  • A. Finn
    Finn is a central character in the Star Wars sequel trilogy, a former stormtrooper who defects from the First Order and joins the Resistance.
  • B. Finn
    Finn is a masculine given name of Old Norse and Irish origin, commonly used in Scandinavian and English-speaking countries.
  • C. Finn
    Finn is a skilled member of Tobey Marshall's street-racing crew in the film "Need for Speed," known for his technical expertise and loyal support.
  • D. Finn McMissile
    Finn McMissile is a suave British spy car from Pixar's Cars franchise, known for his gadget-filled design and key role in Cars 2.
  • E. Finn the Human
    Finn the Human is the brave, adventurous boy hero and primary protagonist of the animated television series Adventure Time.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e74ff70819094c1a85f51d6e228 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6d35148190aa4dc0c2a7bf849d completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:19 a.m.