Triple

T14630106
Position Surface form Disambiguated ID Type / Status
Subject Genesis 36 E343458 entity
Predicate mentions P831 FINISHED
Object Teman E521045 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: Teman | Statement: [Genesis 36, mentions, Teman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teman
Context triple: [Genesis 36, mentions, Teman]
  • A. Teman chosen
    Teman was an important ancient city associated with the Edomites, often noted in biblical texts for its wise men and strategic location in the region south of Judah.
  • B. The Fan
    The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
  • C. The Fan
    The Fan is the popular nickname for Beijing's National Indoor Stadium, a major multi-purpose arena known for hosting events during the 2008 and 2022 Olympic Games.
  • D. Four Friends
    Four Friends is a 1981 coming-of-age drama film that follows the intertwined lives of four young people navigating love, identity, and social upheaval in 1960s America.
  • E. Budak
    Budak is a Turkish surname borne by various individuals, including academics, politicians, and public figures.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a912248190a3df7f821395c776 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf078c1248190889ce04cffbf51dc completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:26 a.m.