Triple

T9730914
Position Surface form Disambiguated ID Type / Status
Subject David C. Hilmers E235737 entity
Predicate familyName P18 FINISHED
Object Hilmers
Hilmers is the surname of David C. Hilmers, an American engineer, former NASA astronaut, and physician.
 E817121 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: Hilmers | Statement: [David C. Hilmers, familyName, Hilmers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hilmers
Context triple: [David C. Hilmers, familyName, Hilmers]
  • A. Hellerud
    Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
  • B. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • C. Hille
    Hille is a surname and place name that appears as a variant form of "Hill" in certain linguistic or regional contexts.
  • D. Hirzer
    Hirzer is a prominent mountain peak in the Sarntal Alps of South Tyrol, Italy, known for its panoramic hiking routes and scenic alpine views.
  • E. Helvick
    Helvick is a small coastal settlement in County Waterford, Ireland, known for its fishing heritage and Irish-speaking community.
  • 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: Hilmers
Triple: [David C. Hilmers, familyName, Hilmers]
Generated description
Hilmers is the surname of David C. Hilmers, an American engineer, former NASA astronaut, and physician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hilmers
Target entity description: Hilmers is the surname of David C. Hilmers, an American engineer, former NASA astronaut, and physician.
  • A. Hellerud
    Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
  • B. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • C. Hille
    Hille is a surname and place name that appears as a variant form of "Hill" in certain linguistic or regional contexts.
  • D. Hirzer
    Hirzer is a prominent mountain peak in the Sarntal Alps of South Tyrol, Italy, known for its panoramic hiking routes and scenic alpine views.
  • E. Helvick
    Helvick is a small coastal settlement in County Waterford, Ireland, known for its fishing heritage and Irish-speaking community.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb2373c81909139c7a2ff2aa541 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb97b6c81908d5f1d4f587a9188 completed April 4, 2026, 11:33 p.m.
NEDg Description generation batch_69d1a16fa29c8190be50ddaa566fcd7f completed April 4, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69d1a335f2808190aca0c1689787b90a completed April 4, 2026, 11:48 p.m.
Created at: March 30, 2026, 8:21 p.m.