Triple

T1496409
Position Surface form Disambiguated ID Type / Status
Subject John R. Steelman E29696 entity
Predicate familyName P18 FINISHED
Object Steelman
Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
 E170569 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: Steelman | Statement: [John R. Steelman, familyName, Steelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steelman
Context triple: [John R. Steelman, familyName, Steelman]
  • A. Union Steel
    Union Steel was an American steel company historically associated with industrialist and financier Andrew W. Mellon.
  • B. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • C. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • D. Bulwark
    Bulwark is a residential suburb located on the outskirts of the town of Chepstow in Monmouthshire, Wales.
  • E. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • 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: Steelman
Triple: [John R. Steelman, familyName, Steelman]
Generated description
Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steelman
Target entity description: Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
  • A. Union Steel
    Union Steel was an American steel company historically associated with industrialist and financier Andrew W. Mellon.
  • B. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • C. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • D. Bulwark
    Bulwark is a residential suburb located on the outskirts of the town of Chepstow in Monmouthshire, Wales.
  • E. Haynrode
    Haynrode is a small village in the German state of Thuringia.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ec70c48190a94f6e1002848eae completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cadb50481908788b5710f6012db completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1deb982481908f542c233c9352ab completed March 8, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad1e79aecc8190a4c7d0f30fdc7e63 completed March 8, 2026, 7 a.m.
Created at: March 1, 2026, 8:12 p.m.