Triple

T16022556
Position Surface form Disambiguated ID Type / Status
Subject Henrietta Boggs E388637 entity
Predicate familyName P18 FINISHED
Object Boggs E635368 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: Boggs | Statement: [Henrietta Boggs, familyName, Boggs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boggs
Context triple: [Henrietta Boggs, familyName, Boggs]
  • A. Boggs chosen
    Boggs is a surname most notably associated with American politician Hale Boggs, who served as a prominent Democratic leader in the U.S. House of Representatives.
  • B. Scoggins
    Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
  • C. Bolger
    Bolger is a surname most famously associated with American actor and dancer Ray Bolger, who played the Scarecrow in the classic film "The Wizard of Oz."
  • D. Bohley
    Bohley is a German surname most notably borne by Bärbel Bohley, a prominent East German civil rights activist and painter.
  • E. Bakster
    Bakster is an alternative spelling or variant form of the name Baxter, typically used as a surname or given name.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18323fc0881908bab7126d9ccf67d completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2f7c4c8190b1290ac28aad8cd0 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.