Triple

T15134310
Position Surface form Disambiguated ID Type / Status
Subject Jamila Woods E361512 entity
Predicate name P16 FINISHED
Object Jamila Woods E361512 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: Jamila Woods | Statement: [Jamila Woods, name, Jamila Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamila Woods
Context triple: [Jamila Woods, name, Jamila Woods]
  • A. Jamila Woods chosen
    Jamila Woods is an American singer, songwriter, and poet from Chicago known for her soulful, socially conscious R&B and collaborations within the city's hip-hop and spoken-word scenes.
  • B. Kamilah Jones
    Kamilah Jones is a comic book colorist known for her work on the graphic novel "Masters of the Sun."
  • C. Shahadi Wright Joseph
    Shahadi Wright Joseph is an American actress and singer best known for her roles in Jordan Peele's horror film "Us" and as young Nala in the 2019 remake of "The Lion King."
  • D. Jamila Jordan
    Jamila Jordan is a relative of American actor and producer Michael B. Jordan, known for his roles in films like "Creed" and "Black Panther."
  • E. Khadijah James
    Khadijah James is the ambitious, witty magazine editor and central protagonist portrayed by Queen Latifah on the 1990s sitcom "Living Single."
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b29a4c819087f8818e3f5788f5 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe8802c81909af9dd11a7805f31 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.