Triple

T6244167
Position Surface form Disambiguated ID Type / Status
Subject Jeff Ament E139675 entity
Predicate notableWork P4 FINISHED
Object Yield E139325 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: Yield | Statement: [Jeff Ament, notableWork, Yield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yield
Context triple: [Jeff Ament, notableWork, Yield]
  • A. Yield chosen
    Yield is Pearl Jam's 1998 studio album that marked a return to a more accessible rock sound and produced singles like "Given to Fly" and "Do the Evolution."
  • B. Harvest
    "Harvest" is a medical thriller novel by Tess Gerritsen that follows a young surgical resident who uncovers a deadly black-market organ trafficking scheme.
  • C. Harvest
    Harvest is a 1972 folk-rock album by Neil Young, widely regarded as one of his signature works and a classic of the singer-songwriter era.
  • D. Weeds
    Weeds is a 1987 drama film starring Matthew Modine that explores the lives of prison inmates who stage a theatrical production as a path to redemption.
  • E. Weeds
    Weeds is a dark comedy-drama television series that follows a widowed suburban mother who turns to selling marijuana to support her family.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631b32308190a8211043d1caa6e6 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603ea4b64819098abfe83fc5003aa completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:23 p.m.