Triple

T13624896
Position Surface form Disambiguated ID Type / Status
Subject Sam Malone E325551 entity
Predicate createdBy P806 FINISHED
Object James Burrows E335598 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: James Burrows | Statement: [Sam Malone, createdBy, James Burrows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Burrows
Context triple: [Sam Malone, createdBy, James Burrows]
  • A. James Burrows chosen
    James Burrows is an American television director and producer best known for his influential work on classic sitcoms such as "Cheers," "Taxi," and "Will & Grace."
  • B. Tony Burrows
    Tony Burrows is a British session singer best known for providing lead vocals on numerous early 1970s pop hits for different studio bands, including Edison Lighthouse, White Plains, and Brotherhood of Man.
  • C. John Burrows
    John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
  • D. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • E. Michael Gwynn
    Michael Gwynn was a British character actor known for his roles in mid-20th-century film and television, including appearances in classic horror and science fiction productions.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7a1ee88190951de590a4a07d6f completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:50 p.m.