Triple

T12108079
Position Surface form Disambiguated ID Type / Status
Subject Youth Runs Wild E288353 entity
Predicate castMember P1668 FINISHED
Object Jean Brooks E560844 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: Jean Brooks | Statement: [Youth Runs Wild, castMember, Jean Brooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Brooks
Context triple: [Youth Runs Wild, castMember, Jean Brooks]
  • A. Jean Brooks chosen
    Jean Brooks was an American film actress of the 1930s and 1940s, best known for her roles in horror and mystery films produced by RKO Pictures.
  • B. Brooks Hatlen
    Brooks Hatlen is an elderly prison librarian in "The Shawshank Redemption" whose tragic struggle to adapt to life outside prison highlights the film’s themes of institutionalization and hopelessness.
  • C. Shepard Brooks
    Shepard Brooks was a prominent 19th-century Chicago real estate developer and businessman known for commissioning landmark commercial buildings such as the Rookery Building.
  • D. Jesse Hoyt
    Jesse Hoyt was a 19th-century American lawyer and Democratic politician who became a prominent New York political figure and customs official.
  • E. Christian Browning
    Christian Browning is one of the children of renowned British novelist Daphne du Maurier.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915632dc48190863e0239cef37e24 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7330c481909e06468be517cf5f completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.