Triple

T15625753
Position Surface form Disambiguated ID Type / Status
Subject Harper Spiller E375670 entity
Predicate hasLastName P18 FINISHED
Object Spiller
Spiller is a surname of English origin borne by various notable individuals across fields such as sports, entertainment, and the arts.
 E1168744 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: Spiller | Statement: [Harper Spiller, hasLastName, Spiller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spiller
Context triple: [Harper Spiller, hasLastName, Spiller]
  • A. Игрок
    «Игрок» — роман Фёдора Достоевского о разрушительной страсти к азартным играм и психологической зависимости.
  • B. The Players
    The Players is a 2012 French comedy anthology film consisting of several vignettes about male infidelity, starring and co-directed by Jean Dujardin and Guillaume Canet.
  • C. The Spielers
    The Spielers is a painting by American artist George Luks, associated with the Ashcan School’s gritty, realist depictions of urban life.
  • D. Sky Player
    Sky Player was the earlier online television streaming service from Sky in the UK, later rebranded as Sky Go.
  • E. Spilka
    Spilka is a surname most notably associated with Karen E. Spilka, an American politician and attorney who has served as President of the Massachusetts Senate.
  • 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: Spiller
Triple: [Harper Spiller, hasLastName, Spiller]
Generated description
Spiller is a surname of English origin borne by various notable individuals across fields such as sports, entertainment, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spiller
Target entity description: Spiller is a surname of English origin borne by various notable individuals across fields such as sports, entertainment, and the arts.
  • A. Игрок
    «Игрок» — роман Фёдора Достоевского о разрушительной страсти к азартным играм и психологической зависимости.
  • B. The Players
    The Players is a 2012 French comedy anthology film consisting of several vignettes about male infidelity, starring and co-directed by Jean Dujardin and Guillaume Canet.
  • C. The Spielers
    The Spielers is a painting by American artist George Luks, associated with the Ashcan School’s gritty, realist depictions of urban life.
  • D. Sky Player
    Sky Player was the earlier online television streaming service from Sky in the UK, later rebranded as Sky Go.
  • E. Spilka
    Spilka is a surname most notably associated with Karen E. Spilka, an American politician and attorney who has served as President of the Massachusetts Senate.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f415c2c81909e232e1c6531da93 completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff5fea7cb48190a1acb9201a12fa32 completed May 9, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69ff62e84bec81908a4885bf7f8f3749 completed May 9, 2026, 4:38 p.m.
Created at: April 10, 2026, 4:14 a.m.