Triple
T3066383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tea with Mussolini |
E62112
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Sean Barton
Sean Barton is a film editor known for his work on various feature films, including the drama "Tea with Mussolini."
|
E354224
|
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: Sean Barton | Statement: [Tea with Mussolini, editedBy, Sean Barton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Barton Context triple: [Tea with Mussolini, editedBy, Sean Barton]
-
A.
Nick Barton
Nick Barton is a prominent evolutionary biologist known for his influential work on the genetics of adaptation and speciation.
-
B.
Scott Barlow
Scott Barlow is an Australian businessman best known for his long-term leadership role as chairman and major stakeholder of A-League football club Sydney FC.
-
C.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
-
D.
Stephen Bowen
Stephen Bowen is a former American football defensive end who played in the NFL, most notably for the Dallas Cowboys and Washington Redskins.
-
E.
Ben Shepherd
Ben Shepherd is an American musician best known as the longtime bassist for the influential grunge band Soundgarden.
- 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: Sean Barton Triple: [Tea with Mussolini, editedBy, Sean Barton]
Generated description
Sean Barton is a film editor known for his work on various feature films, including the drama "Tea with Mussolini."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sean Barton Target entity description: Sean Barton is a film editor known for his work on various feature films, including the drama "Tea with Mussolini."
-
A.
Nick Barton
Nick Barton is a prominent evolutionary biologist known for his influential work on the genetics of adaptation and speciation.
-
B.
Scott Barlow
Scott Barlow is an Australian businessman best known for his long-term leadership role as chairman and major stakeholder of A-League football club Sydney FC.
-
C.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
-
D.
Stephen Bowen
Stephen Bowen is a former American football defensive end who played in the NFL, most notably for the Dallas Cowboys and Washington Redskins.
-
E.
Ben Shepherd
Ben Shepherd is an American musician best known as the longtime bassist for the influential grunge band Soundgarden.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fd87308190918e7b616f033faa |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3340904b4819097ac23cb2b3fe5d5 |
completed | March 12, 2026, 9:45 p.m. |
| NEDg | Description generation | batch_69b338202d208190a2442e62250785ce |
completed | March 12, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b344f93b8881909e00f4afe6493e1f |
completed | March 12, 2026, 10:58 p.m. |
Created at: March 8, 2026, 3:02 p.m.