Triple

T3858899
Position Surface form Disambiguated ID Type / Status
Subject Just Go with It E90086 entity
Predicate screenwriter P2831 FINISHED
Object Allan Loeb E326173 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: Allan Loeb | Statement: [Just Go with It, screenwriter, Allan Loeb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allan Loeb
Context triple: [Just Go with It, screenwriter, Allan Loeb]
  • A. Allan Loeb chosen
    Allan Loeb is an American screenwriter and producer known for writing films such as "Wall Street: Money Never Sleeps," "21," and "The Switch."
  • B. Ralph Alswang
    Ralph Alswang was an American theater architect and designer known for his influential work on major Broadway venues and stage productions.
  • C. Sanford Rothenberg
    Sanford Rothenberg was the second husband of actress Fay Wray, known primarily for his marriage to the iconic King Kong star.
  • D. Lawrence Hauben
    Lawrence Hauben was an American screenwriter best known for co-writing the acclaimed film adaptation of "One Flew Over the Cuckoo's Nest," for which he received an Academy Award nomination.
  • E. Robert J. Kolenkow
    Robert J. Kolenkow is a physicist and educator best known as the co-author of the influential undergraduate textbook "An Introduction to Mechanics."
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1e68f88190941c39221486f6ae completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c7b37048190a22907ffc85140c3 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:19 p.m.