Triple

T123626
Position Surface form Disambiguated ID Type / Status
Subject Harvard University Press E2498 entity
Predicate shortName P43 FINISHED
Object HUP
HUP is the commonly used abbreviation for Harvard University Press, a major academic publishing house affiliated with Harvard University.
 E13814 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: HUP | Statement: [Harvard University Press, shortName, HUP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HUP
Context triple: [Harvard University Press, shortName, HUP]
  • A. HUP
    HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
  • B. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • C. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • D. UPY
    UPY is a reporting mark used by Union Pacific Railroad, primarily identifying its yard and switching locomotives.
  • E. HARV
    HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
  • 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: HUP
Triple: [Harvard University Press, shortName, HUP]
Generated description
HUP is the commonly used abbreviation for Harvard University Press, a major academic publishing house affiliated with Harvard University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HUP
Target entity description: HUP is the commonly used abbreviation for Harvard University Press, a major academic publishing house affiliated with Harvard University.
  • A. HUP
    HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
  • B. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • C. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • D. UPY
    UPY is a reporting mark used by Union Pacific Railroad, primarily identifying its yard and switching locomotives.
  • E. HARV
    HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a2573ce0ac8190b49fb31d3d475bf9 completed Feb. 28, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2982485348190b2b361aef7b42fc9 completed Feb. 28, 2026, 7:24 a.m.
NEDg Description generation batch_69a299032e748190b8f91ff2109c40fe completed Feb. 28, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69a29af5cf3c8190a88b5cbabea72cc5 completed Feb. 28, 2026, 7:36 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.