Triple

T13257858
Position Surface form Disambiguated ID Type / Status
Subject Mae Whitman E315708 entity
Predicate notableWork P4 FINISHED
Object Good Girls (TV series) E319400 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: Good Girls (TV series) | Statement: [Mae Whitman, notableWork, Good Girls (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Girls (TV series)
Context triple: [Mae Whitman, notableWork, Good Girls (TV series)]
  • A. Good Girls
    "Good Girls" is a pop-rock song by Australian band 5 Seconds of Summer, known for its catchy hooks and themes of defying good-girl stereotypes.
  • B. Good Girls chosen
    Good Girls is an American dark comedy-drama television series about three suburban mothers who turn to crime to solve their financial problems.
  • C. Good Girls, Bad Guys
    "Good Girls, Bad Guys" is a hip-hop track by DMX from his 1999 album "...And Then There Was X."
  • D. Very Good Girls
    Very Good Girls is a 2013 coming-of-age drama film about two best friends whose bond is tested when they fall for the same young man.
  • E. New Girl
    New Girl is an American sitcom that follows the quirky misadventures of Jess Day and her three male roommates in a Los Angeles loft.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716c90c5c8190a6de94b92db12210 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:25 p.m.