Triple

T2653312
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Anscombe E53949 entity
Predicate notableWork P4 FINISHED
Object Mr. Truman’s Degree
"Mr. Truman’s Degree" is a famous 1958 essay by philosopher Elizabeth Anscombe that forcefully criticizes President Harry Truman’s decision to use atomic bombs in World War II and challenges the moral reasoning behind such acts.
E286751 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: Mr. Truman’s Degree | Statement: [Elizabeth Anscombe, notableWork, Mr. Truman’s Degree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Truman’s Degree
Context triple: [Elizabeth Anscombe, notableWork, Mr. Truman’s Degree]
  • A. Mr. President
    "Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
  • B. Mr. President
    "Mr. President" is the formal style of address used for the head of state of Romania.
  • C. Mr. President
    "Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
  • D. Mr. President
    "Mr. President" is a formal style of address used for the President of Ecuador.
  • E. Mr. President
    "Mr. President" is the formal style of address used for the head of state of the Russian Federation.
  • 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: Mr. Truman’s Degree
Triple: [Elizabeth Anscombe, notableWork, Mr. Truman’s Degree]
Generated description
"Mr. Truman’s Degree" is a famous 1958 essay by philosopher Elizabeth Anscombe that forcefully criticizes President Harry Truman’s decision to use atomic bombs in World War II and challenges the moral reasoning behind such acts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. Truman’s Degree
Target entity description: "Mr. Truman’s Degree" is a famous 1958 essay by philosopher Elizabeth Anscombe that forcefully criticizes President Harry Truman’s decision to use atomic bombs in World War II and challenges the moral reasoning behind such acts.
  • A. Mr. President
    "Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
  • B. Mr. President
    "Mr. President" is the formal style of address used for the head of state of Romania.
  • C. Mr. President
    "Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
  • D. Mr. President
    "Mr. President" is the formal style of address used for the head of state of the Russian Federation.
  • E. Mr. President
    "Mr. President" is a formal style of address used for the President of Ecuador.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd93197f48190b04faf358b503204 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d0dbd08190a317dfe1844840c5 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af9a41c69c8190b99bcad7098e68fe completed March 10, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_69af9aaeedcc8190901da0fe37e7801d completed March 10, 2026, 4:14 a.m.
Created at: March 6, 2026, 9:53 p.m.