Triple

T14047553
Position Surface form Disambiguated ID Type / Status
Subject Nat Sanders E337997 entity
Predicate notableWork P4 FINISHED
Object The Freebie E508798 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: The Freebie | Statement: [Nat Sanders, notableWork, The Freebie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Freebie
Context triple: [Nat Sanders, notableWork, The Freebie]
  • A. The Freebie chosen
    The Freebie is a 2010 American independent romantic drama film about a married couple who experiment with giving each other one night of sexual freedom, written and directed by Katie Aselton.
  • B. Absolutely Free
    Absolutely Free is a 1967 experimental rock album by Frank Zappa and the Mothers of Invention, noted for its satirical lyrics, complex compositions, and avant-garde approach.
  • C. Free for All
    "Free for All" is a 1964 hard bop jazz album by drummer Art Blakey and his Jazz Messengers, celebrated for its intense energy and powerful ensemble performances.
  • D. "For Free"
    "For Free" is a hip hop single by DJ Khaled featuring Drake, known for its catchy production and chart success.
  • E. Real Good for Free
    "Real Good for Free" is a reflective folk-jazz song by Joni Mitchell that portrays the contrast between commercial success and the simple joy of street musicians.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c88b5e48190b0f0149102c08992 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34332448190b044f55f0f85d5e2 completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.