Triple

T10273533
Position Surface form Disambiguated ID Type / Status
Subject The Heiress E240899 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: [The Heiress, cinematographyBy, Leo Tover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Tover
Context triple: [The Heiress, 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. 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.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d288acf48190bbf14a5cb2dfe1f4 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f81b39008190af48de31de03682e completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:36 a.m.