Triple
T30866657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bourne Enigma |
E786220
|
entity |
| Predicate | mainCharacterRealName |
P29319
|
FINISHED |
| Object | David Webb |
—
|
NE NERFINISHED |
How this triple was built (2 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: David Webb | Statement: [The Bourne Enigma, mainCharacterRealName, David Webb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterRealName Context triple: [The Bourne Enigma, mainCharacterRealName, David Webb]
-
A.
protagonistRealWorldName
Indicates that a character’s name in the real world (outside a fictional, virtual, or alternate setting) is associated with that character as the story’s protagonist.
-
B.
titleCharacterRealName
Indicates that a character known by a title or alias has the specified real (personal) name.
-
C.
protagonistFullName
chosen
Indicates that the subject entity is the full, proper name (including given and family names) of the story’s main protagonist.
-
D.
exampleCharacter
Indicates that one entity is an illustrative or sample character associated with another entity, typically used for demonstration or example purposes.
-
E.
mainCharacterField
Indicates that one entity is designated as the primary or central character associated with another entity, such as a work or narrative.
- F. None of above.
Provenance (3 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 29, 2026, 8:47 p.m.