Triple

T8634458
Position Surface form Disambiguated ID Type / Status
Subject Lightstorm Entertainment E204485 entity
Predicate keyPerson P256 FINISHED
Object Jon Landau E220401 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: Jon Landau | Statement: [Lightstorm Entertainment, keyPerson, Jon Landau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Landau
Context triple: [Lightstorm Entertainment, keyPerson, Jon Landau]
  • A. Jon Landau chosen
    Jon Landau is an American film producer best known for his longtime collaboration with James Cameron on blockbuster films such as Titanic and Avatar.
  • B. Jon Landau
    Jon Landau is an American music critic and record producer best known for his long-time collaboration with Bruce Springsteen and influential role in shaping Springsteen’s career and sound.
  • C. Kyle Labine
    Kyle Labine is a Canadian actor known for his work in film and television and as the brother of fellow actor Tyler Labine.
  • D. Iain De Caestecker
    Iain De Caestecker is a Scottish actor best known for his role as Leo Fitz in the Marvel television series "Agents of S.H.I.E.L.D."
  • E. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc475fb9dc8190bd0d6e5edd05ea79 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc1b330c81909ff8a6806401dfd1 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:27 p.m.