Triple

T16148103
Position Surface form Disambiguated ID Type / Status
Subject Why Women Kill E391838 entity
Predicate stars P1956 FINISHED
Object Ginnifer Goodwin E62614 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: Ginnifer Goodwin | Statement: [Why Women Kill, stars, Ginnifer Goodwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginnifer Goodwin
Context triple: [Why Women Kill, stars, Ginnifer Goodwin]
  • A. Ginnifer Goodwin chosen
    Ginnifer Goodwin is an American actress best known for her roles in the television series "Big Love" and "Once Upon a Time," as well as films like "He's Just Not That Into You" and "Zootopia."
  • B. Lauren Graham
    Lauren Graham is an American actress and author best known for her starring roles on the television series Gilmore Girls and Parenthood.
  • C. Alexandra Breckenridge
    Alexandra Breckenridge is an American actress known for her roles in television series such as American Horror Story and This Is Us, as well as the Netflix drama Virgin River.
  • D. AnnaLynne McCord
    AnnaLynne McCord is an American actress and activist best known for her roles in television series like "90210" and "Nip/Tuck" and in various horror and thriller films.
  • E. Alice Patten
    Alice Patten is a British actress best known internationally for her role as an English documentary filmmaker in the acclaimed Indian film "Rang De Basanti."
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9551e081908391061b092ff31b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006796bed4819085d988d7f2d7afcb completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:01 a.m.