Triple

T21302488
Position Surface form Disambiguated ID Type / Status
Subject Terence T. Henricks E525104 entity
Predicate familyName P18 FINISHED
Object Henricks
Henricks is a surname most notably borne by Terence T. Henricks, an American astronaut and former Air Force colonel.
 E1477518 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: Henricks | Statement: [Terence T. Henricks, familyName, Henricks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henricks
Context triple: [Terence T. Henricks, familyName, Henricks]
  • A. Hannes
    Hannes is a masculine given name commonly used in German-speaking countries, often as a short form of Johannes.
  • B. Niklas
    Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
  • C. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • D. Henriksen
    Henriksen is a Norwegian-origin surname borne by various notable individuals, including American actor Lance Henriksen.
  • E. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • 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: Henricks
Triple: [Terence T. Henricks, familyName, Henricks]
Generated description
Henricks is a surname most notably borne by Terence T. Henricks, an American astronaut and former Air Force colonel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henricks
Target entity description: Henricks is a surname most notably borne by Terence T. Henricks, an American astronaut and former Air Force colonel.
  • A. Hannes
    Hannes is a masculine given name commonly used in German-speaking countries, often as a short form of Johannes.
  • B. Niklas
    Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
  • C. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • D. Henriksen
    Henriksen is a Norwegian-origin surname borne by various notable individuals, including American actor Lance Henriksen.
  • E. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ed108ec81909042b00955d5cd0c completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f592488819098c54b433ce5e67e completed May 17, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a09a033f5108190b8000934050ad55e completed May 17, 2026, 11:02 a.m.
Created at: April 16, 2026, 4:05 p.m.