Triple
T1223603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inception |
E26277
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Dom Cobb |
E54681
|
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: Dom Cobb | Statement: [Inception, mainCharacter, Dom Cobb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dom Cobb Context triple: [Inception, mainCharacter, Dom Cobb]
-
A.
Dom Cobb
chosen
Dom Cobb is the skilled professional thief and extractor who leads dream-infiltration heists in Christopher Nolan's science-fiction film "Inception."
-
B.
Elliot Alderson
Elliot Alderson is the socially anxious, morphine-addicted cybersecurity engineer and hacker protagonist of the television series "Mr. Robot."
-
C.
Maxim Knight
Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
-
D.
Robert Langdon
Robert Langdon is a fictional Harvard symbologist and the protagonist of Dan Brown’s thriller novels, known for unraveling historical and religious conspiracies.
-
E.
John Kenway
John Kenway is a cinematographer best known for his work on the acclaimed 1995 television adaptation of Jane Austen's "Pride and Prejudice."
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be233fd88190996faf4105c0b8d7 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac832704c08190a1a73ebd90fa91b8 |
completed | March 7, 2026, 7:57 p.m. |
Created at: March 1, 2026, 7:47 p.m.