Triple

T12379584
Position Surface form Disambiguated ID Type / Status
Subject On Top E295710 entity
Predicate hasTrack P3284 FINISHED
Object Helpless E227321 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: Helpless | Statement: [On Top, hasTrack, Helpless]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helpless
Context triple: [On Top, hasTrack, Helpless]
  • A. Helpless
    "Helpless" is a soulful Motown song by the Four Tops, showcasing their emotive vocals and classic 1960s R&B sound.
  • B. Helpless chosen
    "Helpless" is a melancholic folk-rock song written by Neil Young, best known for its haunting melody and themes of nostalgia and emotional vulnerability.
  • C. Helpless
    "Helpless" is a romantic R&B-influenced song from the musical *Hamilton*, sung primarily by Eliza Schuyler as she falls in love with Alexander Hamilton.
  • D. Helpless
    "Helpless" is a soulful, guitar-driven pop-rock song by John Mayer from his album *The Search for Everything*, reflecting themes of emotional vulnerability and longing.
  • E. Defenseless
    Defenseless is a 1991 American thriller film starring Barbara Hershey as a lawyer entangled in a dangerous murder investigation.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fb9eca48190aa6612ffc5ed0df2 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634760210819080bc0261aa059132 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.