Triple

T6620963
Position Surface form Disambiguated ID Type / Status
Subject Mary Astor E149671 entity
Predicate notableWork P4 FINISHED
Object Dodsworth E247944 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: Dodsworth | Statement: [Mary Astor, notableWork, Dodsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dodsworth
Context triple: [Mary Astor, notableWork, Dodsworth]
  • A. Elwood Blues
    Elwood Blues is a fictional harmonica-playing musician and one half of the comedic rhythm and blues duo The Blues Brothers, famously portrayed by Dan Aykroyd.
  • B. The Loved One
    The Loved One is a darkly comic novella by Evelyn Waugh that satirizes the American funeral industry and Hollywood culture.
  • C. Kings Row
    Kings Row is a 1942 American drama film set in a small Midwestern town, known for its dark exploration of social hypocrisy and psychological trauma.
  • D. الدهناء
    الدهناء هي صحراء رملية طويلة وضيقة في وسط شبه الجزيرة العربية تُعد من أبرز الصحارى السعودية التي تربط بين صحراء النفود الكبير والربع الخالي.
  • E. Dodsworth (play) chosen
    Dodsworth is a 1934 stage adaptation by Sidney Howard of Sinclair Lewis's novel, focusing on the disintegration of a middle-aged American couple's marriage during their travels in Europe.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7aff44819089da6145e1ef5f76 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbe2bcfc8190a3224c688443edc9 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:58 p.m.