Triple

T15400099
Position Surface form Disambiguated ID Type / Status
Subject Anabella Sherman E368289 entity
Predicate sibling P363 FINISHED
Object Austin Sherman E393294 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: Austin Sherman | Statement: [Anabella Sherman, sibling, Austin Sherman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austin Sherman
Context triple: [Anabella Sherman, sibling, Austin Sherman]
  • A. Austin Sherman chosen
    Austin Sherman is known as one of the children of American actress Sela Ward.
  • B. Christian Shank
    Christian Shank was an early settler and landowner after whom the town of Shanksville, Pennsylvania, was named.
  • C. Sherman Douglas
    Sherman Douglas is a former American point guard best known for his standout college career at Syracuse University and subsequent decade-long tenure in the NBA.
  • D. Anthony McHenry
    Anthony McHenry is an American professional basketball player best known for his long, successful career in Japan’s B.League, particularly as a key contributor to the Ryukyu Golden Kings.
  • E. Tony Puryear
    Tony Puryear is an American screenwriter best known for co-writing the 1996 action film "Eraser" starring Arnold Schwarzenegger.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8d89e08190b7cae778d89fb5e1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6f76d48190ac6032c55adbc4af completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:19 a.m.