Triple

T9983641
Position Surface form Disambiguated ID Type / Status
Subject The First Power E196512 entity
Predicate starring P1507 FINISHED
Object Miklós Lázár
Miklós Lázár is an actor known for his role in the supernatural crime thriller film "The First Power."
E850863 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: Miklós Lázár | Statement: [The First Power, starring, Miklós Lázár]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miklós Lázár
Context triple: [The First Power, starring, Miklós Lázár]
  • A. Gyula Halász
    Gyula Halász, better known by his pseudonym Brassaï, was a Hungarian–French photographer famed for his evocative black-and-white images of Parisian nightlife in the 1930s.
  • B. Vilmos Gábor
    Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
  • C. Pál Maléter
    Pál Maléter was a Hungarian military officer and defense minister who became a leading revolutionary commander during the 1956 uprising against Soviet control and was later executed for his role.
  • D. András Hámori
    András Hámori is a Hungarian-Canadian film producer known for his work on international co-productions, including the acclaimed historical drama "Sunshine" (1999).
  • E. Pál Nagy
    Pál Nagy is a Hungarian name shared by several notable individuals, including figures in fields such as sports, academia, and public life.
  • 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: Miklós Lázár
Triple: [The First Power, starring, Miklós Lázár]
Generated description
Miklós Lázár is an actor known for his role in the supernatural crime thriller film "The First Power."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miklós Lázár
Target entity description: Miklós Lázár is an actor known for his role in the supernatural crime thriller film "The First Power."
  • A. Gyula Halász
    Gyula Halász, better known by his pseudonym Brassaï, was a Hungarian–French photographer famed for his evocative black-and-white images of Parisian nightlife in the 1930s.
  • B. Vilmos Gábor
    Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
  • C. Pál Maléter
    Pál Maléter was a Hungarian military officer and defense minister who became a leading revolutionary commander during the 1956 uprising against Soviet control and was later executed for his role.
  • D. András Hámori
    András Hámori is a Hungarian-Canadian film producer known for his work on international co-productions, including the acclaimed historical drama "Sunshine" (1999).
  • E. Pál Nagy
    Pál Nagy is a Hungarian name shared by several notable individuals, including figures in fields such as sports, academia, and public life.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bdc0388190bbbd4bdc5ac3adec completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a79eb5c08190ae75797556bc0943 completed April 8, 2026, 7:08 p.m.
NEDg Description generation batch_69d6d0003434819093e3f82a556db79c completed April 8, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_69d6df3c8f748190923db41ef1a9a03a completed April 8, 2026, 11:05 p.m.
Created at: March 30, 2026, 8:49 p.m.