Triple

T15240974
Position Surface form Disambiguated ID Type / Status
Subject Set For Life E364252 entity
Predicate topPrizePayoutForm P117712 FINISHED
Object not a single lump sum LITERAL 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: not a single lump sum | Statement: [Set For Life, topPrizePayoutForm, not a single lump sum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topPrizePayoutForm
Context triple: [Set For Life, topPrizePayoutForm, not a single lump sum]
  • A. formerTopPrize
    Indicates that an entity once held the highest or most prestigious prize or award in a given context, but no longer does.
  • B. winnerReceives
    Indicates that the entity identified as the winner is granted or awarded the specified item, benefit, or outcome as a result of winning.
  • C. hasPrizeMoney
    Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
  • D. prizeMoneyCurrency
    Indicates the currency in which the prize money is denominated or paid.
  • E. prizePool
    Indicates that a certain amount of rewards or funds is collectively available to be distributed among participants in an event, competition, or activity.
  • F. None of above. chosen

Provenance (4 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007db9a148190aadea8d5f8b6b261 completed April 15, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69deca899d5c8190be4a7c71e1683c69 completed April 14, 2026, 11:15 p.m.
PDg Predicate description generation batch_69decf2ca6148190967c319728ec3661 completed April 14, 2026, 11:35 p.m.
Created at: April 10, 2026, 3:13 a.m.