Triple

T13435309
Position Surface form Disambiguated ID Type / Status
Subject Phelip E320213 entity
Predicate hasDescendant P3654 FINISHED
Object Phelps E82986 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: Phelps | Statement: [Phelip, hasDescendant, Phelps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phelps
Context triple: [Phelip, hasDescendant, Phelps]
  • A. Phelps chosen
    Phelps is a surname that may refer to various individuals, including fictional characters such as Aunt Polly from classic literature.
  • B. Michael Phelps
    Michael Phelps is an American swimmer widely regarded as the most decorated Olympian of all time, known for his record-breaking medal haul and dominance in multiple Olympic Games.
  • C. Schwimmer
    Schwimmer is a German-origin surname borne by various notable individuals in fields such as acting, politics, and activism.
  • D. James Phelps
    James Phelps is an English actor best known for playing Fred Weasley in the Harry Potter film series.
  • E. Jon Ledecky
    Jon Ledecky is an American businessman and investor best known as a co-owner of the NHL’s New York Islanders.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee29fec81908b07b4fca2922242 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547880d48190af9b30e4e521a952 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:40 p.m.