Triple

T15987459
Position Surface form Disambiguated ID Type / Status
Subject Jason Morgan E387733 entity
Predicate hasSon P6882 FINISHED
Object Jake Webber E1187924 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: Jake Webber | Statement: [Jason Morgan, hasSon, Jake Webber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake Webber
Context triple: [Jason Morgan, hasSon, Jake Webber]
  • A. Jake Webber chosen
    Jake Webber is a fictional character on the soap opera "General Hospital," known as the son of Elizabeth Webber and Jason Morgan and a younger member of the Quartermaine family.
  • B. Evan Wells
    Evan Wells is a prominent video game executive best known as the longtime co-president of Naughty Dog, overseeing acclaimed franchises like Uncharted and The Last of Us.
  • C. Daniel Webber
    Daniel Webber was an early 19th-century Australian ex-convict and settler who became notable through his marriage to Aboriginal landowner and businesswoman Maria Lock.
  • D. Kyle Spencer
    Kyle Spencer is a character from the television series "American Horror Story: Coven," known as a college student resurrected through dark magic and portrayed by actor Evan Peters.
  • E. Jeremy Spenser
    Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575993948190a05d60fc9d0c05fa completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1cb1388190b1ebccc6705e5974 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.