Triple

T5712409
Position Surface form Disambiguated ID Type / Status
Subject Gummo E125938 entity
Predicate writer P1360 FINISHED
Object Pi’erre Bourne E75463 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: Pi’erre Bourne | Statement: [Gummo, writer, Pi’erre Bourne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pi’erre Bourne
Context triple: [Gummo, writer, Pi’erre Bourne]
  • A. Pi’erre Bourne chosen
    Pi’erre Bourne is an American record producer and rapper best known for his atmospheric, melodic trap beats and frequent collaborations with artists like Playboi Carti.
  • B. Jean-Pierre Harrison
    Jean-Pierre Harrison is an aviation author and flight instructor best known as the husband of Indian-American NASA astronaut Kalpana Chawla.
  • C. Bomanji Petit
    Bomanji Petit was a prominent member of the influential Parsi Petit family of Bombay, known for their philanthropy and contributions to industry and public life in colonial India.
  • D. Patrice Wymore
    Patrice Wymore was an American film, television, and stage actress of the mid-20th century who appeared in Hollywood productions and later became known for managing a cattle ranch in Jamaica.
  • E. Lucien Ballard
    Lucien Ballard was an American cinematographer renowned for his innovative lighting techniques and influential work on numerous Hollywood films from the 1930s through the 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b386a08190bd2738d93861edc2 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a72181081909209a38c3ff7460b completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.