Triple

T4966445
Position Surface form Disambiguated ID Type / Status
Subject J. Tinsley Oden E111537 entity
Predicate familyName P18 FINISHED
Object Oden
Oden is a surname most notably associated with J. Tinsley Oden, a prominent American engineer and mathematician known for his contributions to computational mechanics.
 E483181 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: Oden | Statement: [J. Tinsley Oden, familyName, Oden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oden
Context triple: [J. Tinsley Oden, familyName, Oden]
  • A. Unryu
    Unryu was a World War II-era Imperial Japanese Navy aircraft carrier that served in the Pacific Theater.
  • B. Gedo
    Gedo is a region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its role within the federal state of Jubaland.
  • C. Shachi
    Shachi, also known as Indrani, is the queen of the gods and the goddess of beauty and prosperity in Hindu mythology, revered as the wife of the god Indra.
  • D. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • E. Masaru
    Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
  • 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: Oden
Triple: [J. Tinsley Oden, familyName, Oden]
Generated description
Oden is a surname most notably associated with J. Tinsley Oden, a prominent American engineer and mathematician known for his contributions to computational mechanics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oden
Target entity description: Oden is a surname most notably associated with J. Tinsley Oden, a prominent American engineer and mathematician known for his contributions to computational mechanics.
  • A. Unryu
    Unryu was a World War II-era Imperial Japanese Navy aircraft carrier that served in the Pacific Theater.
  • B. Gedo
    Gedo is a region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its role within the federal state of Jubaland.
  • C. Shachi
    Shachi, also known as Indrani, is the queen of the gods and the goddess of beauty and prosperity in Hindu mythology, revered as the wife of the god Indra.
  • D. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • E. Masaru
    Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f7ae388190b752770bf577906f completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81f13988819097dcd5a65cb1f502 completed March 21, 2026, 11:33 a.m.
NEDg Description generation batch_69be83b10e048190889289ac2ca9f07f completed March 21, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69be843e2e50819099b2b73498c7c16e completed March 21, 2026, 11:42 a.m.
Created at: March 20, 2026, 1:32 p.m.