Triple

T1337374
Position Surface form Disambiguated ID Type / Status
Subject Seth Green E28784 entity
Predicate givenName P17 FINISHED
Object Seth E65224 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: Seth | Statement: [Seth Green, givenName, Seth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth
Context triple: [Seth Green, givenName, Seth]
  • A. Seth chosen
    Seth is a biblical figure regarded as the third son of Adam and Eve and an ancestor of Noah in the Hebrew Bible.
  • B. Seth Neddermeyer
    Seth Neddermeyer was an American physicist best known for pioneering the implosion method used in the plutonium bomb during the Manhattan Project.
  • C. Jared
    Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
  • D. Seth Gecko
    Seth Gecko is a ruthless yet charismatic criminal antihero best known as one of the Gecko brothers in the horror-crime franchise "From Dusk Till Dawn."
  • E. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1edda1c81909a1149b254b0d57e completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc62e4c788190824df2a9b81692d7 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:55 p.m.