Triple
T17631455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrington (screenplay) |
E429984
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object |
Carrington
Carrington is a biographical drama film about the life and relationships of English painter Dora Carrington.
|
E1279145
|
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: Carrington | Statement: [Carrington (screenplay), hasTitle, Carrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrington Context triple: [Carrington (screenplay), hasTitle, Carrington]
-
A.
Carrington
Carrington is a surname of English origin borne by various notable individuals across politics, the military, the arts, and other fields.
-
B.
Carrington
Carrington is a village in Greater Manchester, England, known for its industrial estates and proximity to the Manchester Ship Canal.
-
C.
Carrington
Carrington is a small village and civil parish in Midlothian, Scotland, known for its rural character and historic church.
-
D.
Carson
Carson is a given name most famously associated with American novelist Carson McCullers, known for her works exploring loneliness and the human condition.
-
E.
Carson
Carson is a suburban city in Los Angeles County, California, known for its diverse residential communities and proximity to major freeways and ports.
- 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: Carrington Triple: [Carrington (screenplay), hasTitle, Carrington]
Generated description
Carrington is a biographical drama film about the life and relationships of English painter Dora Carrington.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carrington Target entity description: Carrington is a biographical drama film about the life and relationships of English painter Dora Carrington.
-
A.
Carrington
Carrington is a surname of English origin borne by various notable individuals across politics, the military, the arts, and other fields.
-
B.
Carrington
Carrington is a village in Greater Manchester, England, known for its industrial estates and proximity to the Manchester Ship Canal.
-
C.
Carrington
Carrington is a small village and civil parish in Midlothian, Scotland, known for its rural character and historic church.
-
D.
Carson
Carson is a suburban city in Los Angeles County, California, known for its diverse residential communities and proximity to major freeways and ports.
-
E.
Carson
Carson is a given name most famously associated with American novelist Carson McCullers, known for her works exploring loneliness and the human condition.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dc192dc8190854f1fe5d5ed696a |
completed | April 19, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a020a9d79c8819089e2db35ee4d02f7 |
completed | May 11, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_6a020b6fc2908190a2e4c54f20f1fa1f |
completed | May 11, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a020bf5d45c819097fc5a516587263c |
completed | May 11, 2026, 5:03 p.m. |
Created at: April 10, 2026, 5:52 a.m.