Triple
T11638936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creighton Hale |
E276605
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kathleen Bering
Kathleen Bering was the wife of silent film and stage actor Creighton Hale.
|
E937414
|
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: Kathleen Bering | Statement: [Creighton Hale, spouse, Kathleen Bering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathleen Bering Context triple: [Creighton Hale, spouse, Kathleen Bering]
-
A.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
-
B.
Kathleen Beller
Kathleen Beller is an American actress known for her film and television roles in the 1970s and 1980s, including a notable part in the miniseries "The Blue and the Gray."
-
C.
Rena Lundigan
Rena Lundigan is best known as the wife of American film and television actor William Lundigan.
-
D.
Alexandra Bergson
Alexandra Bergson is the resilient, visionary Swedish-American pioneer who transforms her family's Nebraska farm into a thriving enterprise in Willa Cather's novel "O Pioneers!".
-
E.
Kate Burdette
Kate Burdette is an actress known for her role in the British political thriller film "Page Eight."
- 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: Kathleen Bering Triple: [Creighton Hale, spouse, Kathleen Bering]
Generated description
Kathleen Bering was the wife of silent film and stage actor Creighton Hale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kathleen Bering Target entity description: Kathleen Bering was the wife of silent film and stage actor Creighton Hale.
-
A.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
-
B.
Kathleen Beller
Kathleen Beller is an American actress known for her film and television roles in the 1970s and 1980s, including a notable part in the miniseries "The Blue and the Gray."
-
C.
Rena Lundigan
Rena Lundigan is best known as the wife of American film and television actor William Lundigan.
-
D.
Alexandra Bergson
Alexandra Bergson is the resilient, visionary Swedish-American pioneer who transforms her family's Nebraska farm into a thriving enterprise in Willa Cather's novel "O Pioneers!".
-
E.
Kate Burdette
Kate Burdette is an actress known for her role in the British political thriller film "Page Eight."
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87d006e881908e008ffa17502d47 |
completed | April 26, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69eeb31438f88190bab71212293f2d2e |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd715b448190b738479b7c1379a2 |
completed | April 27, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.