Triple

T6976740
Position Surface form Disambiguated ID Type / Status
Subject Stronger (What Doesn't Kill You) E161733 entity
Predicate writer P1360 FINISHED
Object Ali Tamposi
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.
 E632669 NE FINISHED

How this triple was built (4 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: [Stronger (What Doesn't Kill You), writer, Ali Tamposi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ali Tamposi
Context triple: [Stronger (What Doesn't Kill You), writer, Ali Tamposi]
  • A. Jimmy Yuill
    Jimmy Yuill is a Scottish actor known for his work in film, television, and theatre, including roles in several Shakespearean adaptations.
  • B. 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.
  • C. 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.
  • D. Andrew Sharp
    Andrew Sharp is a British business executive and former CEO of the travel company Eurostar.
  • E. Michael Coulter
    Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ali Tamposi
Triple: [Stronger (What Doesn't Kill You), writer, Ali Tamposi]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ali Tamposi
Target entity description: 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.
  • A. Jimmy Yuill
    Jimmy Yuill is a Scottish actor known for his work in film, television, and theatre, including roles in several Shakespearean adaptations.
  • B. 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.
  • C. 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.
  • D. Andrew Sharp
    Andrew Sharp is a British business executive and former CEO of the travel company Eurostar.
  • E. Michael Coulter
    Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
  • F. None of above. chosen

Provenance (5 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db677bbc8190a084b6951e5c3182 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761af5bb48190af430e961efb34fb completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c762cd5f388190980808321296abd3 completed March 28, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69c763beb91881909e561aa5715a6976 completed March 28, 2026, 5:14 a.m.
Created at: March 27, 2026, 2:31 p.m.