Triple

T17663445
Position Surface form Disambiguated ID Type / Status
Subject UEFA Cup with Napoli 1988–89 E440309 entity
Predicate notablePlayerOfWinner P57544 FINISHED
Object Alemão
Alemão is a former Brazilian midfielder best known for his influential role at Napoli in the late 1980s and early 1990s, where he helped the club achieve major European and domestic success.
 E1281651 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: Alemão | Statement: [UEFA Cup with Napoli 1988–89, notablePlayerOfWinner, Alemão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alemão
Context triple: [UEFA Cup with Napoli 1988–89, notablePlayerOfWinner, Alemão]
  • A. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • B. Germann
    Germann is a surname most notably associated with American actor Greg Germann, known for his roles in television and film.
  • C. GRMN
    GRMN is a high-performance sub-brand of Toyota’s Gazoo Racing division, offering limited-run, track-focused versions of select Toyota models.
  • D. Tyskie
    Tyskie is a popular Polish beer brand known for its pale lagers and long brewing tradition.
  • E. Deutsche
    Deutsche is a German term meaning "German," commonly used in the names of German institutions, companies, and cultural entities.
  • 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: Alemão
Triple: [UEFA Cup with Napoli 1988–89, notablePlayerOfWinner, Alemão]
Generated description
Alemão is a former Brazilian midfielder best known for his influential role at Napoli in the late 1980s and early 1990s, where he helped the club achieve major European and domestic success.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alemão
Target entity description: Alemão is a former Brazilian midfielder best known for his influential role at Napoli in the late 1980s and early 1990s, where he helped the club achieve major European and domestic success.
  • A. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • B. Germann
    Germann is a surname most notably associated with American actor Greg Germann, known for his roles in television and film.
  • C. GRMN
    GRMN is a high-performance sub-brand of Toyota’s Gazoo Racing division, offering limited-run, track-focused versions of select Toyota models.
  • D. Tyskie
    Tyskie is a popular Polish beer brand known for its pale lagers and long brewing tradition.
  • E. Deutsche
    Deutsche is a German term meaning "German," commonly used in the names of German institutions, companies, and cultural entities.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea7f0ec81908eff43aa845584af completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02165c9a4481909a6c43b2b58e1fc8 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021f80092c81909a1827561ed69f17 completed May 11, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_6a021fe90da48190810c7aa2c2de2801 completed May 11, 2026, 6:28 p.m.
Created at: April 10, 2026, 9:51 a.m.