Triple

T21313453
Position Surface form Disambiguated ID Type / Status
Subject American Negro League E525402 entity
Predicate alsoKnownAs P39 FINISHED
Object ANL
ANL is an abbreviation for the American Negro League, a short-lived professional baseball league formed in the United States for African American players in the early 20th century.
E1477061 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: ANL | Statement: [American Negro League, alsoKnownAs, ANL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANL
Context triple: [American Negro League, alsoKnownAs, ANL]
  • A. ANLE
    ANLE is the North American Academy of the Spanish Language, an institution dedicated to studying, preserving, and promoting the correct use of Spanish in the United States.
  • B. ANE
    ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
  • C. ANE
    ANE is the ICAO airline designator assigned to Iberia Regional, the regional airline brand operated by Air Nostrum in Spain.
  • D. ANE
    ANE is the IATA airport code for Angers – Loire Airport, a regional airport serving the Angers area in western France.
  • E. ANO
    ANO is the ICAO airline designator assigned to Airnorth, a regional airline based in Australia.
  • 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: ANL
Triple: [American Negro League, alsoKnownAs, ANL]
Generated description
ANL is an abbreviation for the American Negro League, a short-lived professional baseball league formed in the United States for African American players in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ANL
Target entity description: ANL is an abbreviation for the American Negro League, a short-lived professional baseball league formed in the United States for African American players in the early 20th century.
  • A. ANLE
    ANLE is the North American Academy of the Spanish Language, an institution dedicated to studying, preserving, and promoting the correct use of Spanish in the United States.
  • B. ANE
    ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
  • C. ANE
    ANE is the ICAO airline designator assigned to Iberia Regional, the regional airline brand operated by Air Nostrum in Spain.
  • D. ANE
    ANE is the IATA airport code for Angers – Loire Airport, a regional airport serving the Angers area in western France.
  • E. ANO
    ANO is the ICAO airline designator assigned to Airnorth, a regional airline based in Australia.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dcc6350819093763632b7e6e4ac completed April 21, 2026, 11:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099edb42a08190889785a096d3b7d7 completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f8c4a5c8190a67b3185fe8a02ad completed May 17, 2026, 10:59 a.m.
NED2 Entity disambiguation (via description) batch_6a099ffeb4b88190b2859b55ba356e22 completed May 17, 2026, 11:01 a.m.
Created at: April 16, 2026, 4:27 p.m.