Triple
T10367687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teachers |
E244296
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Ellen Thomas
Ellen Thomas is a British actress known for her work in television, film, and theatre, including prominent roles in UK dramas and comedies.
|
E874723
|
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: Ellen Thomas | Statement: [Teachers, hasCastMember, Ellen Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Thomas Context triple: [Teachers, hasCastMember, Ellen Thomas]
-
A.
Ellen Bowen
Ellen Bowen is a woman known primarily as the sister of Tom Bowen, the Australian manual therapist who founded the Bowen technique.
-
B.
Ellen Bowen
Ellen Bowen is a fictional character from the 1951 MGM musical film "Royal Wedding," which starred Fred Astaire.
-
C.
Ellen Pierson
Ellen Pierson is a real estate professional best known for her brief marriage to the late attorney Robert Kardashian, father of the Kardashian family.
-
D.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
E.
Ellen Snyder
Ellen Snyder was an individual significant enough in local history or community life to have the village of Ellenville, New York, named in her honor.
- 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: Ellen Thomas Triple: [Teachers, hasCastMember, Ellen Thomas]
Generated description
Ellen Thomas is a British actress known for her work in television, film, and theatre, including prominent roles in UK dramas and comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ellen Thomas Target entity description: Ellen Thomas is a British actress known for her work in television, film, and theatre, including prominent roles in UK dramas and comedies.
-
A.
Ellen Bowen
Ellen Bowen is a woman known primarily as the sister of Tom Bowen, the Australian manual therapist who founded the Bowen technique.
-
B.
Ellen Bowen
Ellen Bowen is a fictional character from the 1951 MGM musical film "Royal Wedding," which starred Fred Astaire.
-
C.
Ellen Pierson
Ellen Pierson is a real estate professional best known for her brief marriage to the late attorney Robert Kardashian, father of the Kardashian family.
-
D.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
E.
Ellen Snyder
Ellen Snyder was an individual significant enough in local history or community life to have the village of Ellenville, New York, named in her honor.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97106448190a075948e63184f47 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e4aef148190be58486605f85f77 |
completed | April 10, 2026, 8:32 p.m. |
| NEDg | Description generation | batch_69d95f508b6481909405f0404246c69e |
completed | April 10, 2026, 8:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9600a29808190af583d2fd696ec6a |
completed | April 10, 2026, 8:39 p.m. |
Created at: April 6, 2026, noon