Triple

T16809962
Position Surface form Disambiguated ID Type / Status
Subject B. A. Baracus E408581 entity
Predicate nickname P55 FINISHED
Object B. A.
B. A. is the tough, gold-chain-wearing mechanic and strongman from the 1980s television series "The A-Team," famously portrayed by Mr. T.
 E1234412 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: B. A. | Statement: [B. A. Baracus, nickname, B. A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B. A.
Context triple: [B. A. Baracus, nickname, B. A.]
  • A. BA
    BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
  • B. BA
    BA is the commonly used abbreviation for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
  • C. BA
    BA is a postcode area in southwest England that covers parts of Somerset, including towns such as Bath and Bruton.
  • D. BA
    BA is the station code for Bathurst station on the Toronto Transit Commission subway system.
  • E. BA
    BA is the station code for Balderas, a metro station in Mexico City’s rapid transit system.
  • 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: B. A.
Triple: [B. A. Baracus, nickname, B. A.]
Generated description
B. A. is the tough, gold-chain-wearing mechanic and strongman from the 1980s television series "The A-Team," famously portrayed by Mr. T.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B. A.
Target entity description: B. A. is the tough, gold-chain-wearing mechanic and strongman from the 1980s television series "The A-Team," famously portrayed by Mr. T.
  • A. BA
    BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
  • B. BA
    BA is the commonly used abbreviation for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
  • C. BA
    BA is a postcode area in southwest England that covers parts of Somerset, including towns such as Bath and Bruton.
  • D. BA
    BA is the station code for Bathurst station on the Toronto Transit Commission subway system.
  • E. BA
    BA is the station code for Balderas, a metro station in Mexico City’s rapid transit system.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cf680c8190bcd640570c524918 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b290d8e4819082880444b42ffa43 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b33f21a48190b3178aa1241bb85a completed May 10, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_6a00b3afb3708190ab7d78561a2e778c completed May 10, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:23 a.m.