Triple

T7498938
Position Surface form Disambiguated ID Type / Status
Subject Pichichi Trophy E177209 entity
Predicate namedAfter P63 FINISHED
Object Pichichi
Pichichi was a famed early 20th-century Spanish footballer and prolific Athletic Bilbao forward whose legacy lives on through La Liga’s top-scorer award bearing his nickname.
E669111 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: Pichichi | Statement: [Pichichi Trophy, namedAfter, Pichichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pichichi
Context triple: [Pichichi Trophy, namedAfter, Pichichi]
  • A. Pichatur
    Pichatur is a town and mandal in the Tirupati district of Andhra Pradesh, India, known for its rural setting and administrative role in the region.
  • B. Pichi
    Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • C. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • D. Pichini
    Pichini is a small locality (frazione) within the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • E. Pichinglis
    Pichinglis is an English-based creole language spoken primarily on Bioko Island in Equatorial Guinea, particularly among the Fernandino community.
  • 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: Pichichi
Triple: [Pichichi Trophy, namedAfter, Pichichi]
Generated description
Pichichi was a famed early 20th-century Spanish footballer and prolific Athletic Bilbao forward whose legacy lives on through La Liga’s top-scorer award bearing his nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pichichi
Target entity description: Pichichi was a famed early 20th-century Spanish footballer and prolific Athletic Bilbao forward whose legacy lives on through La Liga’s top-scorer award bearing his nickname.
  • A. Pichatur
    Pichatur is a town and mandal in the Tirupati district of Andhra Pradesh, India, known for its rural setting and administrative role in the region.
  • B. Pichi
    Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • C. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • D. Pichini
    Pichini is a small locality (frazione) within the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • E. Pichinglis
    Pichinglis is an English-based creole language spoken primarily on Bioko Island in Equatorial Guinea, particularly among the Fernandino community.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f597a0c08190b34fa283a11d98c7 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c8b28d0819095c7b666d442c7ab completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83d49547081909028ac0293dae102 completed March 28, 2026, 8:42 p.m.
NED2 Entity disambiguation (via description) batch_69c8410c22bc8190a1f52179bf3c720b completed March 28, 2026, 8:58 p.m.
Created at: March 27, 2026, 3:44 p.m.