Triple

T4862473
Position Surface form Disambiguated ID Type / Status
Subject Houston Center for Photography E108692 entity
Predicate abbreviation P43 FINISHED
Object HCP
HCP is a nonprofit arts organization in Houston dedicated to promoting the art and practice of photography through exhibitions, education, and community programs.
 E474535 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: HCP | Statement: [Houston Center for Photography, abbreviation, HCP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HCP
Context triple: [Houston Center for Photography, abbreviation, HCP]
  • A. PHC
    PHC is the IATA airport code for Port Harcourt International Airport in Rivers State, Nigeria.
  • B. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • C. HCKE
    HCKE is the official abbreviation for HC Košice, a professional ice hockey club based in Košice, Slovakia.
  • D. HUP
    HUP is the commonly used abbreviation for Harvard University Press, a major academic publishing house affiliated with Harvard University.
  • E. 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.
  • 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: HCP
Triple: [Houston Center for Photography, abbreviation, HCP]
Generated description
HCP is a nonprofit arts organization in Houston dedicated to promoting the art and practice of photography through exhibitions, education, and community programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HCP
Target entity description: HCP is a nonprofit arts organization in Houston dedicated to promoting the art and practice of photography through exhibitions, education, and community programs.
  • A. PHC
    PHC is the IATA airport code for Port Harcourt International Airport in Rivers State, Nigeria.
  • B. HAP
    HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
  • C. HCKE
    HCKE is the official abbreviation for HC Košice, a professional ice hockey club based in Košice, Slovakia.
  • D. HUP
    HUP is the commonly used abbreviation for Harvard University Press, a major academic publishing house affiliated with Harvard University.
  • E. 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.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d60e47c819094b5fbe883db4c15 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf921cc8190a092bb69c1981890 completed March 21, 2026, 8:55 a.m.
NEDg Description generation batch_69be5e833ca88190b89dda5cafb180fe completed March 21, 2026, 9:01 a.m.
NED2 Entity disambiguation (via description) batch_69be5eed97a08190afd99a0700f1f4c7 completed March 21, 2026, 9:03 a.m.
Created at: March 20, 2026, 1:26 p.m.