Triple

T4623453
Position Surface form Disambiguated ID Type / Status
Subject Hold Back the Dawn E101039 entity
Predicate cinematographyBy P1953 FINISHED
Object Leo Tover E82298 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: Leo Tover | Statement: [Hold Back the Dawn, cinematographyBy, Leo Tover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Tover
Context triple: [Hold Back the Dawn, cinematographyBy, Leo Tover]
  • A. Leo Tover chosen
    Leo Tover was an American cinematographer known for his work on numerous classic Hollywood films across several decades.
  • B. George Russo
    George Russo is an actor known for his role in the film "The Time of Angels."
  • C. Ben Seresin
    Ben Seresin is a New Zealand-born cinematographer known for his work on large-scale action and blockbuster films such as Godzilla vs. Kong, World War Z, and Transformers: Revenge of the Fallen.
  • D. Andre Kostelanetz
    Andre Kostelanetz was a prominent 20th-century Russian-born American conductor and arranger best known for his lush orchestral popularizations of classical and Broadway music.
  • E. Lionel Fusco
    Lionel Fusco is a central character in the TV series "Person of Interest," a once-corrupt NYPD detective who becomes a loyal ally to the show's protagonists.
  • 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_69bd5a053d38819097b3ecbc06aa6e4d completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaa069388190b6482315708b85c2 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.