Triple

T8335485
Position Surface form Disambiguated ID Type / Status
Subject Black Adam E195776 entity
Predicate cinematographyBy P1953 FINISHED
Object Lawrence Sher E237044 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: Lawrence Sher | Statement: [Black Adam, cinematographyBy, Lawrence Sher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence Sher
Context triple: [Black Adam, cinematographyBy, Lawrence Sher]
  • A. Lawrence Sher chosen
    Lawrence Sher is an American cinematographer best known for his visually distinctive work on films such as Joker (2019) and The Hangover series.
  • B. Lawrence Sanders
    Lawrence Sanders was an American crime novelist best known for his bestselling thrillers and detective series, including the Edward X. Delaney and Archy McNally books.
  • C. Lawrence Bender
    Lawrence Bender is an American film producer best known for his longtime collaboration with Quentin Tarantino on influential films such as "Pulp Fiction" and the "Kill Bill" series.
  • D. Edward Reeves
    Edward Reeves was a teacher and mentor known for instructing Lionel Logue, the Australian speech therapist famous for treating King George VI.
  • E. Michael Dorman
    Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd2ca648190991e398ba70caf8d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cef2d359208190bdeb494e090920ea completed April 2, 2026, 10:50 p.m.
Created at: March 30, 2026, 5:57 p.m.