Triple

T6712082
Position Surface form Disambiguated ID Type / Status
Subject Ward Bond E153167 entity
Predicate spouse P13 FINISHED
Object Mary Louise May
Mary Louise May was the wife of American character actor Ward Bond, known for his prolific roles in classic Hollywood films and the television series "Wagon Train."
 E624752 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: Mary Louise May | Statement: [Ward Bond, spouse, Mary Louise May]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary Louise May
Context triple: [Ward Bond, spouse, Mary Louise May]
  • A. Mary Louise
    Mary Louise is the given first name of Irish politician Mary Lou McDonald, leader of the Sinn Féin party.
  • B. Mary Elizabeth Ellis
    Mary Elizabeth Ellis is an American actress and comedian best known for her recurring role as The Waitress on the TV series "It's Always Sunny in Philadelphia."
  • C. Mary Elizabeth Gaud
    Mary Elizabeth Gaud is known as the wife of William Gaud, a prominent American lawyer and World Bank official.
  • D. Mary Ann Bertles
    Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
  • E. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • 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: Mary Louise May
Triple: [Ward Bond, spouse, Mary Louise May]
Generated description
Mary Louise May was the wife of American character actor Ward Bond, known for his prolific roles in classic Hollywood films and the television series "Wagon Train."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary Louise May
Target entity description: Mary Louise May was the wife of American character actor Ward Bond, known for his prolific roles in classic Hollywood films and the television series "Wagon Train."
  • A. Mary Louise
    Mary Louise is the given first name of Irish politician Mary Lou McDonald, leader of the Sinn Féin party.
  • B. Mary Elizabeth Ellis
    Mary Elizabeth Ellis is an American actress and comedian best known for her recurring role as The Waitress on the TV series "It's Always Sunny in Philadelphia."
  • C. Mary Elizabeth Gaud
    Mary Elizabeth Gaud is known as the wife of William Gaud, a prominent American lawyer and World Bank official.
  • D. Mary Ann Bertles
    Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
  • E. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d108acc08190b38b43161d8912b9 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7423de3808190866d0ebc3bfc7530 completed March 28, 2026, 2:51 a.m.
NEDg Description generation batch_69c7435af2b481908e06b3ec72dae7da completed March 28, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_69c7443919ec819089040e50462864d1 completed March 28, 2026, 3 a.m.
Created at: March 27, 2026, 2:07 p.m.