Triple

T16457587
Position Surface form Disambiguated ID Type / Status
Subject 50/50 E399720 entity
Predicate characterPortrayedBy P1507 FINISHED
Object Adam Lerner – Joseph Gordon-Levitt E135619 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: Adam Lerner – Joseph Gordon-Levitt | Statement: [50/50, characterPortrayedBy, Adam Lerner – Joseph Gordon-Levitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Lerner – Joseph Gordon-Levitt
Context triple: [50/50, characterPortrayedBy, Adam Lerner – Joseph Gordon-Levitt]
  • A. Joseph Gordon-Levitt chosen
    Joseph Gordon-Levitt is an American actor and filmmaker known for his versatile roles in films such as Inception, 500 Days of Summer, and Looper, as well as for founding the online production company HitRecord.
  • B. Adam Shulman
    Adam Shulman is an American actor and jewelry designer best known as the husband of actress Anne Hathaway.
  • C. Julian Lerner
    Julian Lerner is an American child actor known for his roles in family-oriented films and television series.
  • D. Ethan Maisel
    Ethan Maisel is a fictional character from the television series "The Marvelous Mrs. Maisel," appearing as the young son of comedian Miriam "Midge" Maisel.
  • E. Adam Kimmel
    Adam Kimmel is an American cinematographer known for his work on acclaimed films such as "Capote," "Lars and the Real Girl," and "Never Let Me Go."
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7ef5cc819084cfeb1a3e39d3cc completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f51d93081909ede0adcf8e604d4 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.