Triple

T505031
Position Surface form Disambiguated ID Type / Status
Subject Emmanuel Lubezki E10484 entity
Predicate notableWork P4 FINISHED
Object Ali
"Ali" is a biographical sports drama film about boxer Muhammad Ali, noted for Emmanuel Lubezki’s distinctive cinematography.
 E63925 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 | Statement: [Emmanuel Lubezki, notableWork, Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ali
Context triple: [Emmanuel Lubezki, notableWork, Ali]
  • A. Alan
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • B. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • C. Alex
    Alex is a common given name, typically used as a shortened form of Alexander or Alexandra.
  • D. Adam
    Adam is the first human in Abrahamic religious traditions, whose disobedience in Eden is believed to have introduced sin into the human condition.
  • E. Alfred
    Alfred is a masculine given name of English origin, historically popular in Anglo-Saxon and later English-speaking cultures.
  • 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
Triple: [Emmanuel Lubezki, notableWork, Ali]
Generated description
"Ali" is a biographical sports drama film about boxer Muhammad Ali, noted for Emmanuel Lubezki’s distinctive cinematography.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ali
Target entity description: "Ali" is a biographical sports drama film about boxer Muhammad Ali, noted for Emmanuel Lubezki’s distinctive cinematography.
  • A. Alan
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • B. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • C. Alex
    Alex is a common given name, typically used as a shortened form of Alexander or Alexandra.
  • D. Adam
    Adam is the first human in Abrahamic religious traditions, whose disobedience in Eden is believed to have introduced sin into the human condition.
  • E. Alfred
    Alfred is a masculine given name of English origin, historically popular in Anglo-Saxon and later English-speaking cultures.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f149bd1c81908ff58ac504ace2bf completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a14c7d0481908368fb33ab14f4c6 completed March 1, 2026, 8:27 p.m.
NEDg Description generation batch_69a4a1b157dc8190a45625668678c96a completed March 1, 2026, 8:29 p.m.
NED2 Entity disambiguation (via description) batch_69a4a21596d88190bab7a940f3020377 completed March 1, 2026, 8:31 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.