Triple

T6346922
Position Surface form Disambiguated ID Type / Status
Subject You Make Me Wanna... E142766 entity
Predicate songwriter P1141 FINISHED
Object Manuel Seal E142766 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: Manuel Seal | Statement: [You Make Me Wanna..., songwriter, Manuel Seal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manuel Seal
Context triple: [You Make Me Wanna..., songwriter, Manuel Seal]
  • A. Manuel Seal chosen
    Manuel Seal is an American songwriter and producer best known for his work on 1990s R&B hits, particularly collaborations with artists like Usher and Mariah Carey.
  • B. Juan Cailles
    Juan Cailles was a Filipino military leader and later politician known for his prominent role in the Philippine Revolution and the Philippine–American War.
  • C. Don Fernando
    Don Fernando is the king’s minister in Beethoven’s opera "Fidelio," who appears at the end to restore justice and free the unjustly imprisoned Florestan.
  • D. Manuel Vega
    Manuel Vega is a designer best known for his work on the Moonman character.
  • E. Manuel Philes
    Manuel Philes was a prominent late Byzantine poet known for his didactic and occasional verse, which provides valuable insight into the culture and society of the Palaiologan era.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067b907c4819085a3ea87589bc4be completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6044b33fc8190a214c6615d072715 completed March 27, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:31 p.m.