Triple

T7436248
Position Surface form Disambiguated ID Type / Status
Subject Quest for Fire E171622 entity
Predicate mainCharacter P1183 FINISHED
Object Amoukar
Amoukar is the prehistoric tribal leader and central protagonist of the 1981 adventure film "Quest for Fire."
E663438 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: Amoukar | Statement: [Quest for Fire, mainCharacter, Amoukar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amoukar
Context triple: [Quest for Fire, mainCharacter, Amoukar]
  • A. Kauthara
    Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
  • B. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • C. Moukari
    Moukari is a Finnish amateur radio callsign holder, identified by the callsign K9FIN Moukari.
  • D. El Mokrani
    El Mokrani is a town and commune located within Bouira Province in northern Algeria.
  • E. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • 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: Amoukar
Triple: [Quest for Fire, mainCharacter, Amoukar]
Generated description
Amoukar is the prehistoric tribal leader and central protagonist of the 1981 adventure film "Quest for Fire."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amoukar
Target entity description: Amoukar is the prehistoric tribal leader and central protagonist of the 1981 adventure film "Quest for Fire."
  • A. Kauthara
    Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
  • B. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • C. Moukari
    Moukari is a Finnish amateur radio callsign holder, identified by the callsign K9FIN Moukari.
  • D. El Mokrani
    El Mokrani is a town and commune located within Bouira Province in northern Algeria.
  • E. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f347f25081908e6086d4073295f5 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f228014819088220b2cefc3ee41 completed March 28, 2026, 6:34 p.m.
NEDg Description generation batch_69c81febb48c8190893a78608027a4c7 completed March 28, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69c82112c894819096101fb506af7432 completed March 28, 2026, 6:42 p.m.
Created at: March 27, 2026, 3:13 p.m.