Triple

T239462
Position Surface form Disambiguated ID Type / Status
Subject Big Game (American football) E4895 entity
Predicate typicalMonthPlayed P6433 FINISHED
Object November
November is the eleventh month of the Gregorian calendar, associated in the United States with late autumn, Thanksgiving, and the height of the football season.
 E31486 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: November | Statement: [Big Game (American football), typicalMonthPlayed, November]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: November
Context triple: [Big Game (American football), typicalMonthPlayed, November]
  • A. April
    April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
  • B. Cheshvan
    Cheshvan is the eighth month of the Hebrew calendar, traditionally noted for having no major Jewish holidays.
  • C. Kislev
    Kislev is a late autumn/early winter month in the Hebrew calendar traditionally associated with the festival of Hanukkah.
  • D. Tevet
    Tevet is a winter month in the Hebrew calendar, typically falling in December–January and associated with several Jewish fasts and historical commemorations.
  • E. Nisan
    Nisan is the first month of the Hebrew religious year, traditionally associated with spring and the festival of Passover.
  • 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: November
Triple: [Big Game (American football), typicalMonthPlayed, November]
Generated description
November is the eleventh month of the Gregorian calendar, associated in the United States with late autumn, Thanksgiving, and the height of the football season.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: November
Target entity description: November is the eleventh month of the Gregorian calendar, associated in the United States with late autumn, Thanksgiving, and the height of the football season.
  • A. April
    April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
  • B. Cheshvan
    Cheshvan is the eighth month of the Hebrew calendar, traditionally noted for having no major Jewish holidays.
  • C. Kislev
    Kislev is a late autumn/early winter month in the Hebrew calendar traditionally associated with the festival of Hanukkah.
  • D. Tevet
    Tevet is a winter month in the Hebrew calendar, typically falling in December–January and associated with several Jewish fasts and historical commemorations.
  • E. Nisan
    Nisan is the first month of the Hebrew religious year, traditionally associated with spring and the festival of Passover.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a260c42060819089eb772202e504f5 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3695ec8cc8190a070462cd0022f6a completed Feb. 28, 2026, 10:17 p.m.
NEDg Description generation batch_69a36a08408c8190af33b6d33000b78e completed Feb. 28, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69a36a57f5048190ab4e96090a310977 completed Feb. 28, 2026, 10:21 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.