Triple

T1921802
Position Surface form Disambiguated ID Type / Status
Subject Woody Guthrie E40139 entity
Predicate spouse P13 FINISHED
Object Marlene (Marlene) – uncertain
Marlene (Marlene) is a little-documented and possibly uncertainly identified spouse associated with American folk singer-songwriter Woody Guthrie.
 E217048 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: Marlene (Marlene) – uncertain | Statement: [Woody Guthrie, spouse, Marlene (Marlene) – uncertain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marlene (Marlene) – uncertain
Context triple: [Woody Guthrie, spouse, Marlene (Marlene) – uncertain]
  • A. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • B. Malena
    Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
  • C. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • D. Marylou
    Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
  • E. Marilyn
    A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
  • 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: Marlene (Marlene) – uncertain
Triple: [Woody Guthrie, spouse, Marlene (Marlene) – uncertain]
Generated description
Marlene (Marlene) is a little-documented and possibly uncertainly identified spouse associated with American folk singer-songwriter Woody Guthrie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marlene (Marlene) – uncertain
Target entity description: Marlene (Marlene) is a little-documented and possibly uncertainly identified spouse associated with American folk singer-songwriter Woody Guthrie.
  • A. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • B. Malena
    Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
  • C. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • D. Marylou
    Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
  • E. Marilyn
    A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb233011881908736523d36f01b0c completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e458e8819098ea1c2d5598f890 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf4cd91008190ada815601d9f76b4 completed March 8, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69adf5681ea88190979237322fd2785b completed March 8, 2026, 10:17 p.m.
Created at: March 4, 2026, 7:35 p.m.