Triple

T11143716
Position Surface form Disambiguated ID Type / Status
Subject Kevin Gage E263621 entity
Predicate playedCharacter P1507 FINISHED
Object Waingro
Waingro is a volatile, psychopathic criminal and key antagonist in Michael Mann's 1995 crime film "Heat."
 E907680 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: Waingro | Statement: [Kevin Gage, playedCharacter, Waingro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waingro
Context triple: [Kevin Gage, playedCharacter, Waingro]
  • A. Waiyana
    Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
  • B. Pirongia
    Pirongia is a rural village in the Waikato region of New Zealand, situated near Mount Pirongia and functioning as a small community within the wider Hamilton area.
  • C. Waneci
    Waneci is an alternative name for Wanetsi, an Eastern Iranian language spoken primarily by the Spin Tareen tribe in parts of Pakistan and Afghanistan.
  • D. Taumarunui
    Taumarunui is a rural service town in New Zealand’s central North Island, known as a gateway to the Whanganui River and nearby national parks.
  • E. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • 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: Waingro
Triple: [Kevin Gage, playedCharacter, Waingro]
Generated description
Waingro is a volatile, psychopathic criminal and key antagonist in Michael Mann's 1995 crime film "Heat."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waingro
Target entity description: Waingro is a volatile, psychopathic criminal and key antagonist in Michael Mann's 1995 crime film "Heat."
  • A. Waiyana
    Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
  • B. Pirongia
    Pirongia is a rural village in the Waikato region of New Zealand, situated near Mount Pirongia and functioning as a small community within the wider Hamilton area.
  • C. Waneci
    Waneci is an alternative name for Wanetsi, an Eastern Iranian language spoken primarily by the Spin Tareen tribe in parts of Pakistan and Afghanistan.
  • D. Taumarunui
    Taumarunui is a rural service town in New Zealand’s central North Island, known as a gateway to the Whanganui River and nearby national parks.
  • E. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8634d5481909b114d30a542ea3f completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e44215513481908909ce4289aabca6 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09dd5c8190bddf3dd109a639ba completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e451274ce48190a05f1d37f972c36c completed April 19, 2026, 3:51 a.m.
Created at: April 8, 2026, 9:28 p.m.