Triple

T13930723
Position Surface form Disambiguated ID Type / Status
Subject The Photograph E334980 entity
Predicate hasProtagonist P8706 FINISHED
Object Michael Block E1069875 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: Michael Block | Statement: [The Photograph, hasProtagonist, Michael Block]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Block
Context triple: [The Photograph, hasProtagonist, Michael Block]
  • A. Michael Block
    Michael Block is a distinguished physicist recognized for his significant contributions to nuclear and atomic physics, honored as a laureate of the Lise Meitner Prize.
  • B. Michael Block chosen
    Michael Block is a central fictional character whose personal journey and relationships drive the emotional narrative of the film "The Photograph."
  • C. Ed Block
    Ed Block was a longtime athletic trainer for the Baltimore Colts and a humanitarian whose work with abused and neglected children inspired the creation of the Ed Block Courage Award.
  • D. Brian Blosil
    Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
  • E. Michael Begler
    Michael Begler is an American television writer and producer best known for co-creating the period medical drama series "The Knick."
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf13b2881908a48058a719d3745 completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c67e2c8190a14b273af0d93b0a completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:16 p.m.