Triple
T6488953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Circus |
E147984
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
George Davis
George Davis was an actor known for appearing in early 20th-century films, including the silent comedy "The Circus."
|
E597609
|
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: George Davis | Statement: [The Circus, castMember, George Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Davis Context triple: [The Circus, castMember, George Davis]
-
A.
George Davis
George Davis was a prominent American lawyer and politician who served as the Attorney General of the Confederate States during the American Civil War.
-
B.
Robert Davis
Robert Davis is an American real estate developer and urban planner best known for creating Seaside, Florida, a pioneering community in the New Urbanism movement.
-
C.
Edwin Davis
Edwin Davis is an author best known for writing the work that inspired the film "All of Me."
-
D.
Luther Davis
Luther Davis was an American screenwriter and playwright known for his work on mid-20th-century film and stage productions.
-
E.
Frank Davis
Frank Davis was an American screenwriter best known for co-writing the acclaimed film adaptation of "A Tree Grows in Brooklyn" (1945).
- 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: George Davis Triple: [The Circus, castMember, George Davis]
Generated description
George Davis was an actor known for appearing in early 20th-century films, including the silent comedy "The Circus."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Davis Target entity description: George Davis was an actor known for appearing in early 20th-century films, including the silent comedy "The Circus."
-
A.
George Davis
George Davis was a prominent American lawyer and politician who served as the Attorney General of the Confederate States during the American Civil War.
-
B.
Robert Davis
Robert Davis is an American real estate developer and urban planner best known for creating Seaside, Florida, a pioneering community in the New Urbanism movement.
-
C.
Edwin Davis
Edwin Davis is an author best known for writing the work that inspired the film "All of Me."
-
D.
Luther Davis
Luther Davis was an American screenwriter and playwright known for his work on mid-20th-century film and stage productions.
-
E.
Frank Davis
Frank Davis was an American screenwriter best known for co-writing the acclaimed film adaptation of "A Tree Grows in Brooklyn" (1945).
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a97fff88190b6f993c14df62649 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fdc835081909772f3a3aaee538f |
completed | March 27, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_69c661173d248190b67fe20c20c35fb6 |
completed | March 27, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c661b340ac8190a10117349e3bf567 |
completed | March 27, 2026, 10:53 a.m. |
Created at: March 22, 2026, 4:52 p.m.