Triple

T20859792
Position Surface form Disambiguated ID Type / Status
Subject Justin Long E513584 entity
Predicate notableWork P4 FINISHED
Object Ed (TV series) NE NERFINISHED

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: Ed (TV series) | Statement: [Justin Long, notableWork, Ed (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed (TV series)
Context triple: [Justin Long, notableWork, Ed (TV series)]
  • A. "Ed" chosen
    "Ed" is an early-2000s American dramedy TV series about a lawyer who returns to his hometown to run a bowling alley while practicing law, starring Tom Cavanagh in the title role.
  • B. Edd
    Edd, also known as "Double D," is the intelligent, polite, and neurotic member of the trio in the animated series *Ed, Edd n Eddy*, recognized for his beanie hat and inventive problem-solving.
  • C. Edd
    Edd is a coastal town in Eritrea known for its location along the Red Sea in the country’s Northern Red Sea Region.
  • D. Ed, Edd n Eddy
    Ed, Edd n Eddy is an animated comedy series following three scheming friends in a suburban cul-de-sac as they devise elaborate scams to earn money for jawbreakers.
  • E. Living with Ed
    Living with Ed is a reality television series that follows actor and environmentalist Ed Begley Jr. as he pursues an eco-friendly, sustainable lifestyle in his daily life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3aabef4819098f0fd24dcc27dbd completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.