Triple

T4626397
Position Surface form Disambiguated ID Type / Status
Subject The Deep End of the Ocean E101107 entity
Predicate screenwriter P2831 FINISHED
Object Stephen Schiff E326174 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: Stephen Schiff | Statement: [The Deep End of the Ocean, screenwriter, Stephen Schiff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Schiff
Context triple: [The Deep End of the Ocean, screenwriter, Stephen Schiff]
  • A. Stephen Schiff chosen
    Stephen Schiff is an American screenwriter and journalist known for his work on films such as "Wall Street: Money Never Sleeps" and for writing on acclaimed television series.
  • B. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • C. Ben D. Waisbren
    Ben D. Waisbren is a film producer known for financing and producing major studio and independent movies.
  • D. Steven Baigelman
    Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
  • E. Stephen Goldblatt
    Stephen Goldblatt is a British cinematographer known for his work on major films such as Charlie Wilson's War, Batman Forever, and Lethal Weapon.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10330b608190a82e67ceac3b34b7 completed March 21, 2026, 3:27 a.m.
Created at: March 20, 2026, 1:13 p.m.