Triple

T19697783
Position Surface form Disambiguated ID Type / Status
Subject W. C. Heinz E473006 entity
Predicate notableWork P4 FINISHED
Object Run to Daylight! 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: Run to Daylight! | Statement: [W. C. Heinz, notableWork, Run to Daylight!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Run to Daylight!
Context triple: [W. C. Heinz, notableWork, Run to Daylight!]
  • A. "Run to Daylight!" chosen
    "Run to Daylight!" is a classic football book that offers an inside look at coaching strategy and leadership through a week in the life of legendary Green Bay Packers coach Vince Lombardi.
  • B. Running with Light
    Running with Light is a poetry collection by Australian writer Luke Davies that explores themes of love, loss, and transcendence through lyrical, image-rich verse.
  • C. Run for Your Life
    Run for Your Life is a work by science writer Lucy Hawking that blends storytelling with scientific themes, reflecting her focus on making complex ideas accessible to young readers.
  • D. Run for Your Life
    "Run for Your Life" is a song by the Beatles, written primarily by John Lennon and released as the closing track on their 1965 album Rubber Soul.
  • E. Run for Your Life
    "Run for Your Life" is a fast-paced crime thriller novel in James Patterson and Michael Ledwidge's Michael Bennett series, following the New York City detective as he hunts a ruthless killer terrorizing the city.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b2baec81909ee2cd6ead632836 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.