Triple
T10304271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diggstown |
E241710
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Gabriel Caine
Gabriel Caine is a smooth-talking con artist and former boxer who masterminds an elaborate betting scheme in the film "Diggstown."
|
E854197
|
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: Gabriel Caine | Statement: [Diggstown, mainCharacter, Gabriel Caine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Caine Context triple: [Diggstown, mainCharacter, Gabriel Caine]
-
A.
Stan Cole
Stan Cole is a film editor known for his work on the Canadian psychological horror film "The Pyx."
-
B.
Solomon Grey
Solomon Grey is a British electronic music duo known for their atmospheric, cinematic soundscapes and work across albums, film, and television scores.
-
C.
Robert McCall
Robert McCall is a former intelligence operative who uses his skills to vigilantly protect the vulnerable and deliver justice in "The Equalizer" franchise.
-
D.
Robert McCall
Robert McCall was an American space artist and illustrator renowned for his visionary depictions of space exploration and his artwork for NASA missions and popular science fiction films.
-
E.
Maxim Knight
Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
- 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: Gabriel Caine Triple: [Diggstown, mainCharacter, Gabriel Caine]
Generated description
Gabriel Caine is a smooth-talking con artist and former boxer who masterminds an elaborate betting scheme in the film "Diggstown."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabriel Caine Target entity description: Gabriel Caine is a smooth-talking con artist and former boxer who masterminds an elaborate betting scheme in the film "Diggstown."
-
A.
Stan Cole
Stan Cole is a film editor known for his work on the Canadian psychological horror film "The Pyx."
-
B.
Solomon Grey
Solomon Grey is a British electronic music duo known for their atmospheric, cinematic soundscapes and work across albums, film, and television scores.
-
C.
Robert McCall
Robert McCall is a former intelligence operative who uses his skills to vigilantly protect the vulnerable and deliver justice in "The Equalizer" franchise.
-
D.
Robert McCall
Robert McCall was an American space artist and illustrator renowned for his visionary depictions of space exploration and his artwork for NASA missions and popular science fiction films.
-
E.
Maxim Knight
Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d308f034819098da69b963eb8a02 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d58416081909a010e905d70e934 |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d73185266481909e79eddc33469d8d |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d73279922c8190b616e1a61df4d227 |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:45 a.m.