Triple
T10020543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Damon |
E200598
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Jason Bourne |
E39808
|
NE FINISHED |
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: Jason Bourne | Statement: [Matt Damon, portrayed, Jason Bourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Bourne Context triple: [Matt Damon, portrayed, Jason Bourne]
-
A.
Jason Bourne
chosen
Jason Bourne is a fictional amnesiac assassin and highly skilled operative at the center of Robert Ludlum’s spy novels and the popular action-thriller film series.
-
B.
Bourne
Bourne is a coastal town on Cape Cod in Massachusetts known for its location along the Cape Cod Canal and its maritime activities.
-
C.
Bourne
Bourne is a historic market town in the South Kesteven district of Lincolnshire, England, known for its agricultural surroundings and local heritage.
-
D.
Alex Bourne
Alex Bourne is best known as the husband of British singer and former S Club 7 member Rachel Stevens.
-
E.
Jason Bourne (2016 film)
Jason Bourne (2016 film) is an American action thriller that continues the story of the amnesiac former CIA assassin as he resurfaces to uncover hidden truths about his past and the agency that created him.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd777b208190ad75eac79eec0c2f |
completed | April 2, 2026, 1:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b60256b48190829cfdbff0105cc0 |
completed | April 5, 2026, 7:20 p.m. |
Created at: March 30, 2026, 8:53 p.m.