Triple

T15669239
Position Surface form Disambiguated ID Type / Status
Subject (500) Days of Summer E377263 entity
Predicate cinematographyBy P1953 FINISHED
Object Eric Steelberg E317958 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: Eric Steelberg | Statement: [(500) Days of Summer, cinematographyBy, Eric Steelberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Steelberg
Context triple: [(500) Days of Summer, cinematographyBy, Eric Steelberg]
  • A. Eric Steelberg chosen
    Eric Steelberg is an American cinematographer known for his work on feature films such as "Juno," "Up in the Air," and "500 Days of Summer."
  • B. Eric Weinberg
    Eric Weinberg is a television producer and writer best known for his work on series such as "Scrubs" and "Californication."
  • C. Alan Steinberg
    Alan Steinberg is an American writer and political commentator known for co-authoring the book "Black Profiles in Courage," which highlights notable achievements of African American leaders.
  • D. Joseph Silverstein
    Joseph Silverstein was an American violinist and conductor best known as concertmaster and later assistant conductor of the Boston Symphony Orchestra and as a prominent teacher.
  • E. Ian Siegel
    Ian Siegel is an American entrepreneur best known as the co-founder and longtime CEO of the online employment marketplace ZipRecruiter.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1254508190a77a16b7bfd299ad completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b205dc81908c4194a931d94074 completed May 9, 2026, 11:30 p.m.
Created at: April 10, 2026, 4:16 a.m.