Triple

T12008631
Position Surface form Disambiguated ID Type / Status
Subject Frank Frink E285848 entity
Predicate formerName P65 FINISHED
Object Frank Fink E285848 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: Frank Fink | Statement: [Frank Frink, formerName, Frank Fink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Fink
Context triple: [Frank Frink, formerName, Frank Fink]
  • A. Stan Fink
    Stan Fink is a supporting character in the film "Eternal Sunshine of the Spotless Mind," working as a technician for the memory-erasing company Lacuna, Inc.
  • B. Frank Fenton
    Frank Fenton was an American character actor active in mid-20th-century film and television, often appearing in crime dramas and Westerns.
  • C. Mr. Franks
    Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
  • D. Frank Frink chosen
    Frank Frink is a central character in Philip K. Dick's alternate-history novel "The Man in the High Castle," portrayed as a disillusioned craftsman navigating life under Axis-occupied America.
  • E. Harvey Kinkle
    Harvey Kinkle is Sabrina Spellman's kind-hearted, often clueless mortal boyfriend in the "Sabrina the Teenage Witch" franchise.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d61a4c81909e6cb6500b61df94 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f642801881909a94d67c99bfd110 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:46 p.m.