Triple

T14970237
Position Surface form Disambiguated ID Type / Status
Subject Glen Campbell E373296 entity
Predicate spouse P13 FINISHED
Object Kim Woolen
Kim Woolen is an American former dancer and the widow of country music star Glen Campbell.
E1130022 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: Kim Woolen | Statement: [Glen Campbell, spouse, Kim Woolen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Woolen
Context triple: [Glen Campbell, spouse, Kim Woolen]
  • A. Hanis Coos
    Hanis Coos is a Native American subgroup of the Coos people traditionally inhabiting the southern Oregon coast, with its own distinct language and cultural heritage.
  • B. Wilder Harris
    Wilder Harris is an individual notable enough to be recognized as a bearer of the given name Wilder.
  • C. Kay Kimbell
    Kay Kimbell was an American businessman and philanthropist whose art collection and endowment led to the creation of the Kimbell Art Museum in Fort Worth, Texas.
  • D. Han Pritcher
    Han Pritcher is a former Foundation officer in Isaac Asimov's Foundation series who becomes a key, Mule-controlled agent central to the events of "Search by the Mule."
  • E. Rennie Wilford
    Rennie Wilford is the protagonist of Margaret Atwood’s novel "Bodily Harm," a travel journalist whose trip to a Caribbean island becomes a harrowing exploration of political unrest and personal vulnerability.
  • 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: Kim Woolen
Triple: [Glen Campbell, spouse, Kim Woolen]
Generated description
Kim Woolen is an American former dancer and the widow of country music star Glen Campbell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kim Woolen
Target entity description: Kim Woolen is an American former dancer and the widow of country music star Glen Campbell.
  • A. Hanis Coos
    Hanis Coos is a Native American subgroup of the Coos people traditionally inhabiting the southern Oregon coast, with its own distinct language and cultural heritage.
  • B. Wilder Harris
    Wilder Harris is an individual notable enough to be recognized as a bearer of the given name Wilder.
  • C. Kay Kimbell
    Kay Kimbell was an American businessman and philanthropist whose art collection and endowment led to the creation of the Kimbell Art Museum in Fort Worth, Texas.
  • D. Han Pritcher
    Han Pritcher is a former Foundation officer in Isaac Asimov's Foundation series who becomes a key, Mule-controlled agent central to the events of "Search by the Mule."
  • E. Rennie Wilford
    Rennie Wilford is the protagonist of Margaret Atwood’s novel "Bodily Harm," a travel journalist whose trip to a Caribbean island becomes a harrowing exploration of political unrest and personal vulnerability.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e59a7c8190a1634a706ea68fda completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be6ce68819099f841d83c6ca33d completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8e512adc8190a1cf47f1713a968f completed May 9, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69fe8ec3d718819098629558bc007496 completed May 9, 2026, 1:32 a.m.
Created at: April 10, 2026, 2:49 a.m.