Triple

T16716710
Position Surface form Disambiguated ID Type / Status
Subject Wendie Malick E406242 entity
Predicate film P9968 FINISHED
Object Waiting... E1128104 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: Waiting... | Statement: [Wendie Malick, film, Waiting...]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waiting...
Context triple: [Wendie Malick, film, Waiting...]
  • A. Waiting... chosen
    "Waiting..." is a 2005 comedy film set in a casual dining restaurant, following the crude antics and frustrations of its staff during a single chaotic shift.
  • B. Waiting
    "Waiting" is an Indian drama film featuring Naseeruddin Shah that explores the emotional struggles of two strangers coping with their spouses in comas.
  • C. Waiting
    "Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
  • D. Waiting
    "Waiting" is a track from the album "Erotica," likely contributing to its sensual and atmospheric musical narrative.
  • E. Waits
    Waits is the surname of American singer-songwriter, composer, and actor Tom Waits, known for his distinctive gravelly voice and eclectic, experimental style.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38656b66081909f2c2a8971c45aee completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3da12881909296926edde5b723 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.