Triple

T17348312
Position Surface form Disambiguated ID Type / Status
Subject Down E421742 entity
Predicate trackListItem P30893 FINISHED
Object The Associate NE ONNED1

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: The Associate | Statement: [Down, trackListItem, The Associate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Associate
Context triple: [Down, trackListItem, The Associate]
  • A. The Associate chosen
    The Associate is a 1996 American comedy film starring Whoopi Goldberg as a talented financial analyst who creates a fictitious male partner to overcome sexism on Wall Street.
  • B. The Associate
    The Associate is a legal thriller novel by John Grisham that follows a young law school graduate coerced into a high-stakes corporate espionage scheme.
  • C. The Association
    The Association is an American sunshine pop band best known for 1960s hits like "Cherish," "Windy," and "Never My Love."
  • D. The Assistant
    The Assistant is a 1957 novel by Bernard Malamud that explores themes of guilt, redemption, and immigrant life in mid-20th-century America through the relationship between a Jewish shopkeeper and his troubled assistant.
  • E. The Assistant
    The Assistant is a 2019 drama film that follows a day in the life of a junior assistant at a powerful film production company, quietly exposing systemic workplace abuse and complicity.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2a2ee48190976732e654a40053 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955658b88190bce3fb2b5738afc6 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.