Triple

T3328196
Position Surface form Disambiguated ID Type / Status
Subject Jake Nava E69967 entity
Predicate hasWorkedWith P9615 FINISHED
Object Robbie Williams E98710 NE FINISHED

How this triple was built (2 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: Robbie Williams | Statement: [Jake Nava, hasWorkedWith, Robbie Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robbie Williams
Context triple: [Jake Nava, hasWorkedWith, Robbie Williams]
  • A. Robbie Williams chosen
    Robbie Williams is an English pop singer and entertainer who rose to fame with the boy band Take That before achieving massive success as a solo artist.
  • B. Bryan Spears
    Bryan Spears is an American television and film producer best known as the older brother of pop star Britney Spears and for his involvement in managing aspects of her career.
  • C. George Michael
    George Michael was an English singer, songwriter, and record producer who achieved global fame both as a member of Wham! and as a solo artist, becoming one of the best-selling musicians of all time.
  • D. Dan Walker
    Dan Walker was an American Democratic politician who served as the 36th governor of Illinois in the 1970s and was later convicted in a savings and loan scandal.
  • E. Ray Rigby
    Ray Rigby was a British screenwriter best known for his work on war and action films in the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16f61248190bab10f4ac9e066f7 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7ec9f48190873d90b678713bad completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.