Triple

T2624517
Position Surface form Disambiguated ID Type / Status
Subject Sydney FC E59084 entity
Predicate notablePlayer P304 FINISHED
Object Steve Corica
Steve Corica is a former Australian attacking midfielder best known for his long and influential playing and coaching career with A-League club Sydney FC.
E282935 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: Steve Corica | Statement: [Sydney FC, notablePlayer, Steve Corica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Corica
Context triple: [Sydney FC, notablePlayer, Steve Corica]
  • A. Max Da Costa
    Max Da Costa is the protagonist of the sci-fi film "Elysium," a former car thief who undertakes a dangerous mission to reach a luxurious space habitat and challenge its oppressive class system.
  • B. Loris Martini
    Loris Martini is an individual notable enough to be recognized as a bearer of the Martini surname.
  • C. Joe Pichirallo
    Joe Pichirallo is a film and television producer known for his work on projects such as the adaptation of "The Secret Life of Bees."
  • D. Robin Midgley
    Robin Midgley was a British theatre and television director known for his influential stage work and contributions to contemporary drama.
  • E. Jon DeVaan
    Jon DeVaan is a longtime Microsoft engineering leader known for his key roles in developing and managing core Windows and Office technologies.
  • 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: Steve Corica
Triple: [Sydney FC, notablePlayer, Steve Corica]
Generated description
Steve Corica is a former Australian attacking midfielder best known for his long and influential playing and coaching career with A-League club Sydney FC.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steve Corica
Target entity description: Steve Corica is a former Australian attacking midfielder best known for his long and influential playing and coaching career with A-League club Sydney FC.
  • A. Max Da Costa
    Max Da Costa is the protagonist of the sci-fi film "Elysium," a former car thief who undertakes a dangerous mission to reach a luxurious space habitat and challenge its oppressive class system.
  • B. Loris Martini
    Loris Martini is an individual notable enough to be recognized as a bearer of the Martini surname.
  • C. Joe Pichirallo
    Joe Pichirallo is a film and television producer known for his work on projects such as the adaptation of "The Secret Life of Bees."
  • D. Robin Midgley
    Robin Midgley was a British theatre and television director known for his influential stage work and contributions to contemporary drama.
  • E. Jon DeVaan
    Jon DeVaan is a longtime Microsoft engineering leader known for his key roles in developing and managing core Windows and Office technologies.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b061a08190b7a8459851abaae2 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af909b7d9881908930a98d004998fb completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af913e20848190a25c90617df6ea6f completed March 10, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_69af91e0ef408190b1ab9cb9f8bbdaca completed March 10, 2026, 3:37 a.m.
Created at: March 6, 2026, 9:50 p.m.