Triple

T20398943
Position Surface form Disambiguated ID Type / Status
Subject Office of Human Capital E500281 entity
Predicate abbreviation P43 FINISHED
Object OHC
OHC is the acronym commonly used to refer to an organization’s Office of Human Capital, which oversees workforce planning, talent management, and related HR strategies.
 E1427722 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: OHC | Statement: [Office of Human Capital, abbreviation, OHC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OHC
Context triple: [Office of Human Capital, abbreviation, OHC]
  • A. OHC
    OHC is the acronym for the Office of Habitat Conservation, a division focused on protecting and restoring vital natural habitats.
  • B. OHA
    OHA is the Oregon Health Authority, the state agency responsible for overseeing public health, health policy, and the Medicaid program in Oregon.
  • C. OHA
    OHA is a semi-autonomous Hawaiian state agency focused on improving the well-being of Native Hawaiians through advocacy, programs, and resource management.
  • D. OHA
    OHA is a Canadian ice hockey governing body that oversees junior and senior leagues in Ontario.
  • E. OHR
    OHR is the international body overseeing the civilian implementation of the Dayton Peace Agreement in Bosnia and Herzegovina.
  • 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: OHC
Triple: [Office of Human Capital, abbreviation, OHC]
Generated description
OHC is the acronym commonly used to refer to an organization’s Office of Human Capital, which oversees workforce planning, talent management, and related HR strategies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OHC
Target entity description: OHC is the acronym commonly used to refer to an organization’s Office of Human Capital, which oversees workforce planning, talent management, and related HR strategies.
  • A. OHC
    OHC is the acronym for the Office of Habitat Conservation, a division focused on protecting and restoring vital natural habitats.
  • B. OHA
    OHA is the Oregon Health Authority, the state agency responsible for overseeing public health, health policy, and the Medicaid program in Oregon.
  • C. OHA
    OHA is a semi-autonomous Hawaiian state agency focused on improving the well-being of Native Hawaiians through advocacy, programs, and resource management.
  • D. OHA
    OHA is a Canadian ice hockey governing body that oversees junior and senior leagues in Ontario.
  • E. OHR
    OHR is the international body overseeing the civilian implementation of the Dayton Peace Agreement in Bosnia and Herzegovina.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798cf04481909f183c4c75fe6d52 completed April 20, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087629f618819086c4747990ceb22f completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a0876cc45b88190a7179ca4d518f899 completed May 16, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0877355bc08190909694d1bb0c3e67 completed May 16, 2026, 1:55 p.m.
Created at: April 16, 2026, 11:29 a.m.