Triple

T19080962
Position Surface form Disambiguated ID Type / Status
Subject The Tall Men E467029 entity
Predicate cinematographyBy P1953 FINISHED
Object Leo Tover NE NERFINISHED

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: [The Tall Men, cinematographyBy, Leo Tover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Tover
Context triple: [The Tall Men, 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. Joseph D'Alesandro
    Joseph D'Alesandro is a member of the prominent D'Alesandro political family from Baltimore, Maryland.
  • E. Joseph Liebgott
    Joseph Liebgott was a paratrooper and rifleman in Easy Company of the U.S. Army’s 101st Airborne Division during World War II, known from the book and miniseries "Band of Brothers."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e8f8148190942cca6dd3e30caf completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.