Triple

T14658598
Position Surface form Disambiguated ID Type / Status
Subject Tex-Mex E344175 entity
Predicate notableArtist P601 FINISHED
Object Doug Sahm E247914 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: Doug Sahm | Statement: [Tex-Mex, notableArtist, Doug Sahm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug Sahm
Context triple: [Tex-Mex, notableArtist, Doug Sahm]
  • A. Doug Sahm chosen
    Doug Sahm was an influential American musician and bandleader from Texas, best known for blending rock, country, blues, and Tex-Mex styles in groups like the Sir Douglas Quintet and the Texas Tornados.
  • B. Cory Helms
    Cory Helms is a screenwriter best known for co-writing the inspirational sports drama film "We Are Marshall."
  • C. Sonny Gallagher
    Sonny Gallagher is one of Noel Gallagher’s children, known primarily for being part of the famous British musician’s family.
  • D. Tony Joe White
    Tony Joe White was an American singer-songwriter and guitarist known for his swamp rock style and hits like "Polk Salad Annie."
  • E. Al Kooper
    Al Kooper is an American musician, songwriter, and producer best known for his influential session work with Bob Dylan, founding role in Blood, Sweat & Tears, and contributions to classic rock recordings of the 1960s and 1970s.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.