Triple

T1216201
Position Surface form Disambiguated ID Type / Status
Subject Thelma Ritter E26111 entity
Predicate spouse P13 FINISHED
Object Joseph Moran
Joseph Moran was the husband of acclaimed American character actress Thelma Ritter.
 E236327 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: Joseph Moran | Statement: [Thelma Ritter, spouse, Joseph Moran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joseph Moran
Context triple: [Thelma Ritter, spouse, Joseph Moran]
  • A. Roger D. Branigin
    Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
  • B. John McShain
    John McShain was an American building contractor known for constructing major U.S. landmarks, including the Pentagon and significant parts of Washington, D.C.'s federal architecture.
  • C. Joseph Buloff
    Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
  • D. Sam Jaffe
    Sam Jaffe was an American actor and character performer known for memorable roles in classic films such as "Gunga Din," "The Asphalt Jungle," and "Ben-Hur."
  • E. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • 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: Joseph Moran
Triple: [Thelma Ritter, spouse, Joseph Moran]
Generated description
Joseph Moran was the husband of acclaimed American character actress Thelma Ritter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joseph Moran
Target entity description: Joseph Moran was the husband of acclaimed American character actress Thelma Ritter.
  • A. Roger D. Branigin
    Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
  • B. John McShain
    John McShain was an American building contractor known for constructing major U.S. landmarks, including the Pentagon and significant parts of Washington, D.C.'s federal architecture.
  • C. Joseph Buloff
    Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
  • D. Sam Jaffe
    Sam Jaffe was an American actor and character performer known for memorable roles in classic films such as "Gunga Din," "The Asphalt Jungle," and "Ben-Hur."
  • E. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be059c5c8190a200f09442c22334 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae51572d808190b6e2e7a8a3b597f0 completed March 9, 2026, 4:49 a.m.
NEDg Description generation batch_69ae521c7810819086b88bb5f062597e completed March 9, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae52e79c788190bbe6eb5baba08a71 completed March 9, 2026, 4:56 a.m.
Created at: March 1, 2026, 7:46 p.m.