Triple

T14778107
Position Surface form Disambiguated ID Type / Status
Subject Most Girls E347315 entity
Predicate writer P1360 FINISHED
Object Asia Whiteacre E1119224 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: Asia Whiteacre | Statement: [Most Girls, writer, Asia Whiteacre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia Whiteacre
Context triple: [Most Girls, writer, Asia Whiteacre]
  • A. Asia Whiteacre chosen
    Asia Whiteacre is a writer best known for her work on the web series "Starving."
  • B. Tula Ellice Finklea
    Tula Ellice Finklea, better known by her stage name Cyd Charisse, was an American dancer and actress famed for her roles in classic Hollywood musical films.
  • C. Katharine Alexander
    Katharine Alexander was an American stage and film actress active in the early to mid-20th century, known for her character roles in Hollywood dramas.
  • D. Maria Franklin
    Maria Franklin was the first wife of DeWitt Clinton, a prominent early 19th-century New York politician and governor.
  • E. Charlotte A. Cavatica
    Charlotte A. Cavatica is the wise and compassionate barn spider who befriends Wilbur the pig and devises a plan to save his life in E.B. White’s classic children’s story "Charlotte’s Web."
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec817c39081909b08a0ffdfce9936 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b626c48190a6aa9eda43539246 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.