Triple

T12736587
Position Surface form Disambiguated ID Type / Status
Subject Office of the Chief Human Capital Officer (DOE) E304378 entity
Predicate shortName P43 FINISHED
Object OCHCO
OCHCO is the U.S. Department of Energy’s central office responsible for human capital management, workforce planning, and personnel policy.
 E1001183 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: OCHCO | Statement: [Office of the Chief Human Capital Officer (DOE), shortName, OCHCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OCHCO
Context triple: [Office of the Chief Human Capital Officer (DOE), shortName, OCHCO]
  • A. OCH
    OCH is a German vehicle registration code assigned to the town of Ochsenfurt in Bavaria.
  • B. Olcha
    Olcha is an alternative name for the Ulch language, a Tungusic language spoken by the Ulch people in the Russian Far East.
  • C. Ochs
    Ochs is a surname most prominently associated with the Ochs-Sulzberger family, the longtime publishers and owners of The New York Times.
  • D. OKO
    OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
  • E. OCOB
    OCOB is the abbreviated name for the Orfalea College of Business, the business school at California Polytechnic State University in San Luis Obispo.
  • 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: OCHCO
Triple: [Office of the Chief Human Capital Officer (DOE), shortName, OCHCO]
Generated description
OCHCO is the U.S. Department of Energy’s central office responsible for human capital management, workforce planning, and personnel policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OCHCO
Target entity description: OCHCO is the U.S. Department of Energy’s central office responsible for human capital management, workforce planning, and personnel policy.
  • A. OCH
    OCH is a German vehicle registration code assigned to the town of Ochsenfurt in Bavaria.
  • B. Olcha
    Olcha is an alternative name for the Ulch language, a Tungusic language spoken by the Ulch people in the Russian Far East.
  • C. Ochs
    Ochs is a surname most prominently associated with the Ochs-Sulzberger family, the longtime publishers and owners of The New York Times.
  • D. OKO
    OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
  • E. OCOB
    OCOB is the abbreviated name for the Orfalea College of Business, the business school at California Polytechnic State University in San Luis Obispo.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646b3ca08190b239f0736a01169d completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8e2dbc81909c1c85ca699a2679 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67d888d7c8190b9aaeb877984a403 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:26 p.m.