Triple

T18886141
Position Surface form Disambiguated ID Type / Status
Subject Barbara De Fina E461960 entity
Predicate notableWork P4 FINISHED
Object You Can Count on Me NE NERFINISHED

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: You Can Count on Me | Statement: [Barbara De Fina, notableWork, You Can Count on Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Can Count on Me
Context triple: [Barbara De Fina, notableWork, You Can Count on Me]
  • A. You Can Count on Me chosen
    You Can Count on Me is a critically acclaimed 2000 American drama film written and directed by Kenneth Lonergan, focusing on the complex relationship between an overburdened single mother and her troubled brother in a small town.
  • B. You Can't Count on Me
    "You Can't Count on Me" is a song by the American rock band Counting Crows from their album "Saturday Nights & Sunday Mornings."
  • C. Who Can I Count On
    "Who Can I Count On" is a country song recorded by Patsy Cline, known as one of her heartfelt, traditional-style ballads.
  • D. Everything Counts
    "Everything Counts" is a 1983 synth-pop song by Depeche Mode that critiques corporate greed and corruption, known for its distinctive sampling and xylophone-like hook.
  • E. After Me
    "After Me" is a song by the American rock band Every Six Seconds, known among fans of their alternative and post-grunge style.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4760d808190b502c4ed1f24424c completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:57 a.m.