Triple

T28329524
Position Surface form Disambiguated ID Type / Status
Subject Vetch Field E717498 entity
Predicate finalGoalScorerAtGround P183716 FINISHED
Object Adrian Forbes
Adrian Forbes is an English former professional footballer best known as a winger who played in the Football League for clubs including Norwich City, Luton Town, and Swansea City.
 E1813400 NE FINISHED

How this triple was built (3 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: Adrian Forbes | Statement: [Vetch Field, finalGoalScorerAtGround, Adrian Forbes]
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: Adrian Forbes
Triple: [Vetch Field, finalGoalScorerAtGround, Adrian Forbes]
Generated description
Adrian Forbes is an English former professional footballer best known as a winger who played in the Football League for clubs including Norwich City, Luton Town, and Swansea City.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: finalGoalScorerAtGround
Context triple: [Vetch Field, finalGoalScorerAtGround, Adrian Forbes]
  • A. finalGoalscorer
    Indicates that an entity is the player who scored the last goal in a particular match or event.
  • B. goalScorerIn
    Indicates that an entity is the player who scored a goal in a particular match or event.
  • C. decisiveGoalScorerInFinal
    Indicates that an entity scored a crucial, match-deciding goal in the final of a competition or tournament.
  • D. goalScorer
    Indicates that the subject is the player who scored a particular goal in a game or match.
  • E. goalkeeperInFinal
    Indicates that an entity served as a goalkeeper in the final match of a competition.
  • F. None of above. chosen

Provenance (7 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_69eff6e9a57c8190a69c2c74b5d72119 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f7a283388c81908e4a9ee3369e8d6f completed May 3, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1627b51b288190a12ed7eeaa111d4a completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a16295b5a4c8190bed0f47920d2bf79 completed May 26, 2026, 11:14 p.m.
NED2 Entity disambiguation (via description) batch_6a162a080b348190923c6ee579c829c1 completed May 26, 2026, 11:17 p.m.
PD Predicate disambiguation batch_69f7a06d4f108190bae3ab9ae431d2c7 completed May 3, 2026, 7:22 p.m.
PDg Predicate description generation batch_69f7a224365081908ff6958e3b30bd05 completed May 3, 2026, 7:29 p.m.
Created at: April 28, 2026, 12:31 a.m.