Triple

T3117849
Position Surface form Disambiguated ID Type / Status
Subject Naphtali E65104 entity
Predicate father P120 FINISHED
Object Guni E329743 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: Guni | Statement: [Naphtali, father, Guni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guni
Context triple: [Naphtali, father, Guni]
  • A. Guni chosen
    Guni is a biblical figure mentioned in the Hebrew Bible as a descendant within the tribe of Naphtali.
  • B. Marui
    Marui is a Japanese department store and retail company known for its fashion-focused shopping complexes branded with the "OIOI" logo.
  • C. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • D. Rakkasans
    Rakkasans is the distinctive nickname of the 3rd Brigade Combat Team of the U.S. Army’s 101st Airborne Division, renowned for its airborne and air assault operations.
  • E. Gunta
    Gunta is a given name most notably borne by Gunta Stölzl, a pioneering textile artist and the only female master at the Bauhaus school.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e73cc88190846ef37ccf1a0de7 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224cf54088190a069b4eef0a5f7d2 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:04 p.m.