Triple
T21117017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the White |
E520325
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Dave Mango
Dave Mango is a screenwriter best known for his work on the survival drama film "Into the White."
|
E1468097
|
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: Dave Mango | Statement: [Into the White, screenwriter, Dave Mango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Mango Context triple: [Into the White, screenwriter, Dave Mango]
-
A.
Tony Mordente
Tony Mordente is an American dancer, choreographer, and television director best known for his work on Broadway and in the film adaptation of "West Side Story."
-
B.
Billy Monger
Billy Monger is a British racing driver and double amputee who became widely known for his inspirational return to motorsport and subsequent work as a disability and charity campaigner.
-
C.
Mojo Morgan
Mojo Morgan is a member of the Grammy-winning Jamaican reggae band Morgan Heritage, known for blending roots reggae with contemporary influences.
-
D.
Dave Barbarossa
Dave Barbarossa is an English drummer best known for his influential, tribal-influenced playing style with bands such as Adam and the Ants and Bow Wow Wow.
-
E.
Josh Keaton
Josh Keaton is an American voice actor and actor best known for his work in animation and video games, including roles in Disney and Marvel productions.
- 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: Dave Mango Triple: [Into the White, screenwriter, Dave Mango]
Generated description
Dave Mango is a screenwriter best known for his work on the survival drama film "Into the White."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Mango Target entity description: Dave Mango is a screenwriter best known for his work on the survival drama film "Into the White."
-
A.
Tony Mordente
Tony Mordente is an American dancer, choreographer, and television director best known for his work on Broadway and in the film adaptation of "West Side Story."
-
B.
Billy Monger
Billy Monger is a British racing driver and double amputee who became widely known for his inspirational return to motorsport and subsequent work as a disability and charity campaigner.
-
C.
Mojo Morgan
Mojo Morgan is a member of the Grammy-winning Jamaican reggae band Morgan Heritage, known for blending roots reggae with contemporary influences.
-
D.
Dave Barbarossa
Dave Barbarossa is an English drummer best known for his influential, tribal-influenced playing style with bands such as Adam and the Ants and Bow Wow Wow.
-
E.
Josh Keaton
Josh Keaton is an American voice actor and actor best known for his work in animation and video games, including roles in Disney and Marvel productions.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72106a3b48190a0efa51a74ae21f0 |
completed | April 21, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965e5b04c8190addaa49cb9f6ad06 |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a0969cd36b081909e24ab92c0b2ab0a |
completed | May 17, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a096b373290819082f45e68772a81e4 |
completed | May 17, 2026, 7:16 a.m. |
Created at: April 16, 2026, 2:55 p.m.