Triple

T11899894
Position Surface form Disambiguated ID Type / Status
Subject Who Do You Love E283121 entity
Predicate writer P1360 FINISHED
Object Ali Tamposi E632669 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: Ali Tamposi | Statement: [Who Do You Love, writer, Ali Tamposi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Tamposi
Context triple: [Who Do You Love, writer, Ali Tamposi]
  • A. Ali Tamposi chosen
    Ali Tamposi is an American songwriter known for co-writing numerous global pop hits for artists such as Kelly Clarkson, Camila Cabello, and Shawn Mendes.
  • B. Jimmy Yuill
    Jimmy Yuill is a Scottish actor known for his work in film, television, and theatre, including roles in several Shakespearean adaptations.
  • C. Kate Tucci
    Kate Tucci was the late wife of actor Stanley Tucci, known for her work as a social worker and producer and for largely staying out of the public spotlight.
  • D. Mitchell Alsup
    Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
  • E. Andrew Sharp
    Andrew Sharp is a British business executive and former CEO of the travel company Eurostar.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd16433881909befca9774bdaab4 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4182f18c08190b22706b024d60dd7 completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.