Triple

T6331121
Position Surface form Disambiguated ID Type / Status
Subject Allison Tolman E142382 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: [Allison Tolman, 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: [Allison Tolman, notableWork, Good Girls (TV series)]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. HBO Girls (television series)
    HBO Girls is a critically acclaimed HBO comedy-drama series created by and starring Lena Dunham that follows the lives and misadventures of a group of young women navigating adulthood in New York City.
  • E. The Good Girls Revolt
    The Good Girls Revolt is an American period drama television series that follows a group of young female researchers at a 1960s news magazine as they challenge systemic gender discrimination and fight for workplace equality.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06514cbe8819096dbeb17ccb3e3d5 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6041aac948190ad7dd4d5683903ed completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.