Triple

T3696767
Position Surface form Disambiguated ID Type / Status
Subject Frances Farmer E78476 entity
Predicate notableWork P4 FINISHED
Object Among the Living E148953 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: Among the Living | Statement: [Frances Farmer, notableWork, Among the Living]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Among the Living
Context triple: [Frances Farmer, notableWork, Among the Living]
  • A. Among the Living chosen
    Among the Living is a 1941 American film noir–style horror thriller known for its atmospheric storytelling and Albert Dekker’s dual-role performance.
  • B. The Dead and the Living
    The Dead and the Living is a critically acclaimed poetry collection by Sharon Olds that explores themes of family, violence, and mortality in vivid, confessional verse.
  • C. The Life
    "The Life" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
  • D. Among People
    Among People is an alternative title for the film "In the World."
  • E. Living the legacy
    "Living the legacy" is the official motto of the Nelson Mandela Foundation, encapsulating its mission to continue and promote Nelson Mandela’s values and humanitarian work.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc5115ad8819085ffa938de3943f4 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3d4821081909ccd1b5789eb761e completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.