Triple
T2308286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Magnificent Seven (1960 film) |
E51891
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Britt
Britt is the laconic, knife-throwing gunfighter portrayed by James Coburn in the classic Western film "The Magnificent Seven."
|
E252850
|
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: Britt | Statement: [The Magnificent Seven (1960 film), character, Britt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Britt Context triple: [The Magnificent Seven (1960 film), character, Britt]
-
A.
Tessa
Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
-
B.
Brenna
Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
-
C.
Greta
Greta is a small town located within the Hunter Region of New South Wales, Australia.
-
D.
Greta
Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
-
E.
Brielle
Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
- 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: Britt Triple: [The Magnificent Seven (1960 film), character, Britt]
Generated description
Britt is the laconic, knife-throwing gunfighter portrayed by James Coburn in the classic Western film "The Magnificent Seven."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Britt Target entity description: Britt is the laconic, knife-throwing gunfighter portrayed by James Coburn in the classic Western film "The Magnificent Seven."
-
A.
Tessa
Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
-
B.
Brenna
Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
-
C.
Greta
Greta is a small town located within the Hunter Region of New South Wales, Australia.
-
D.
Greta
Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
-
E.
Brielle
Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc607cf4881908ba4ea2a7f5dedc9 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f379bbc8190b085b82e2e16401e |
completed | March 9, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_69ae8005a5688190b3ef308b55d377e7 |
completed | March 9, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae80c51b548190b44d6484b7644b1c |
completed | March 9, 2026, 8:11 a.m. |
Created at: March 4, 2026, 7:49 p.m.