Triple

T4663604
Position Surface form Disambiguated ID Type / Status
Subject All American E102791 entity
Predicate star P23405 FINISHED
Object Bre-Z
Bre-Z is an American actress and rapper best known for her role as Tamia "Coop" Cooper on the television series *All American*.
E460644 NE FINISHED

How this triple was built (4 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: Bre-Z | Statement: [All American, star, Bre-Z]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bre-Z
Context triple: [All American, star, Bre-Z]
  • A. Zooropa
    Zooropa is a 1993 experimental rock album by Irish band U2 that blends alternative rock with electronic and ambient influences.
  • B. Beast
    Beast is a thriller novel by Peter Benchley that centers on a deadly giant squid terrorizing a coastal community.
  • C. Beast
    Beast is a brilliant mutant scientist and acrobatic fighter known for his blue-furred, beast-like appearance and long-standing membership in the X-Men and Avengers.
  • D. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • E. Bde Maka Ska
    Bde Maka Ska is the largest lake in Minneapolis, Minnesota, popular for recreation and known as part of the city’s Chain of Lakes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bre-Z
Triple: [All American, star, Bre-Z]
Generated description
Bre-Z is an American actress and rapper best known for her role as Tamia "Coop" Cooper on the television series *All American*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bre-Z
Target entity description: Bre-Z is an American actress and rapper best known for her role as Tamia "Coop" Cooper on the television series *All American*.
  • A. Zooropa
    Zooropa is a 1993 experimental rock album by Irish band U2 that blends alternative rock with electronic and ambient influences.
  • B. Beast
    Beast is a thriller novel by Peter Benchley that centers on a deadly giant squid terrorizing a coastal community.
  • C. Beast
    Beast is a brilliant mutant scientist and acrobatic fighter known for his blue-furred, beast-like appearance and long-standing membership in the X-Men and Avengers.
  • D. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • E. Bde Maka Ska
    Bde Maka Ska is the largest lake in Minneapolis, Minnesota, popular for recreation and known as part of the city’s Chain of Lakes.
  • F. None of above. chosen

Provenance (5 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632d6150819085bab97021c0235a completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03803a948190b6dc2a03bb9cdc93 completed March 21, 2026, 2:33 a.m.
NEDg Description generation batch_69be0542daf08190b792855c8129ac50 completed March 21, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69be05c1dcd48190a08a5748e86a5ac8 completed March 21, 2026, 2:43 a.m.
Created at: March 20, 2026, 1:15 p.m.