Triple
T20361108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spun |
E496781
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Will De Los Santos
Will De Los Santos is an American writer and filmmaker best known for co-writing the cult drug-culture film "Spun."
|
E1427373
|
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: Will De Los Santos | Statement: [Spun, screenwriter, Will De Los Santos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will De Los Santos Context triple: [Spun, screenwriter, Will De Los Santos]
-
A.
Lorenzo Santos
Lorenzo Santos is a fictional child character in the soap opera "All My Children," born to Hayley Vaughan.
-
B.
Michael De Guzman
Michael De Guzman is an American screenwriter best known for his work on the film "Jaws: The Revenge" and various television movies and series.
-
C.
Rico Bandello
Rico Bandello is the ruthless, ambitious gangster protagonist of the classic 1931 crime film "Little Caesar," often cited as one of cinema’s earliest and most influential mob antiheroes.
-
D.
Ray Rojo
Ray Rojo is a musician best known as a member of the American rock band The Boxmasters.
-
E.
Rey Robles
Rey Robles is a character in Don DeLillo’s novel *The Body Artist*, involved in the story’s exploration of identity, memory, and the uncanny.
- 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: Will De Los Santos Triple: [Spun, screenwriter, Will De Los Santos]
Generated description
Will De Los Santos is an American writer and filmmaker best known for co-writing the cult drug-culture film "Spun."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will De Los Santos Target entity description: Will De Los Santos is an American writer and filmmaker best known for co-writing the cult drug-culture film "Spun."
-
A.
Lorenzo Santos
Lorenzo Santos is a fictional child character in the soap opera "All My Children," born to Hayley Vaughan.
-
B.
Michael De Guzman
Michael De Guzman is an American screenwriter best known for his work on the film "Jaws: The Revenge" and various television movies and series.
-
C.
Rico Bandello
Rico Bandello is the ruthless, ambitious gangster protagonist of the classic 1931 crime film "Little Caesar," often cited as one of cinema’s earliest and most influential mob antiheroes.
-
D.
Ray Rojo
Ray Rojo is a musician best known as a member of the American rock band The Boxmasters.
-
E.
Rey Robles
Rey Robles is a character in Don DeLillo’s novel *The Body Artist*, involved in the story’s exploration of identity, memory, and the uncanny.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786de5988190827584358c9db147 |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08761089a0819088d14d6fe7922669 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a087709e00c81908b564de6a00798ae |
completed | May 16, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877bd84d08190b22722b247c92f8d |
completed | May 16, 2026, 1:57 p.m. |
Created at: April 16, 2026, 11:25 a.m.