Triple

T16380618
Position Surface form Disambiguated ID Type / Status
Subject Michael Peca E397795 entity
Predicate familyName P18 FINISHED
Object Peca
Peca is the surname of Michael Peca, a former professional ice hockey player and two-time Selke Trophy–winning center in the NHL.
 E1209503 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: Peca | Statement: [Michael Peca, familyName, Peca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peca
Context triple: [Michael Peca, familyName, Peca]
  • A. Pech
    Pech is a district (Ortsteil) of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • B. Pacanne
    Pacanne was an 18th-century Miami chief known for his influential leadership and diplomatic role in relations between Native American tribes, European powers, and the emerging United States in the Great Lakes region.
  • C. Pero
    Pero is a common South Slavic diminutive form of the male given name Petar (Peter).
  • D. Pero
    Pero is a West Chadic language spoken in parts of Nigeria.
  • E. Pekar
    Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
  • 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: Peca
Triple: [Michael Peca, familyName, Peca]
Generated description
Peca is the surname of Michael Peca, a former professional ice hockey player and two-time Selke Trophy–winning center in the NHL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peca
Target entity description: Peca is the surname of Michael Peca, a former professional ice hockey player and two-time Selke Trophy–winning center in the NHL.
  • A. Pech
    Pech is a district (Ortsteil) of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • B. Pacanne
    Pacanne was an 18th-century Miami chief known for his influential leadership and diplomatic role in relations between Native American tribes, European powers, and the emerging United States in the Great Lakes region.
  • C. Pero
    Pero is a common South Slavic diminutive form of the male given name Petar (Peter).
  • D. Pero
    Pero is a West Chadic language spoken in parts of Nigeria.
  • E. Pekar
    Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319db5b648190a8fca23518a1fb39 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035689ef08190ba980a359498ca56 completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a00363c50848190a6a3d692cbe07cd0 completed May 10, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0036e53f2c81908f04a5e51870040c completed May 10, 2026, 7:42 a.m.
Created at: April 10, 2026, 5:08 a.m.