Triple

T16590850
Position Surface form Disambiguated ID Type / Status
Subject Steven Haft E403079 entity
Predicate producerOf P490 FINISHED
Object The Favor E699346 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: The Favor | Statement: [Steven Haft, producerOf, The Favor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Favor
Context triple: [Steven Haft, producerOf, The Favor]
  • A. The Favor chosen
    The Favor is a 1994 romantic comedy film about two women whose lives become complicated after one asks the other to track down and sleep with her high school crush.
  • B. A Simple Favor
    A Simple Favor is a 2018 darkly comedic mystery-thriller film centered on a mommy vlogger who investigates the sudden disappearance of her glamorous best friend.
  • C. Time of Favor
    Time of Favor is an Israeli psychological-political thriller film directed by and strongly associated with filmmaker Assi Dayan.
  • D. I Care a Lot
    I Care a Lot is a dark comedy thriller film about a corrupt legal guardian who exploits elderly clients for profit until she targets the wrong victim.
  • E. The Gift
    The Gift is a 1938 novel by Vladimir Nabokov that follows a young Russian émigré writer in Berlin and is celebrated for its intricate structure, metafictional play, and rich exploration of art, memory, and exile.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359a012e081909a0604dde3c04bbb completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da6d6f08190a8524b1c955b7c2e completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:16 a.m.