Triple
T11236659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Thomas Hardy |
E265956
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Eames in Inception |
E265965
|
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: Eames in Inception | Statement: [Edward Thomas Hardy, portrayed, Eames in Inception]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eames in Inception Context triple: [Edward Thomas Hardy, portrayed, Eames in Inception]
-
A.
Eames in Inception
chosen
Eames in Inception is a charismatic and witty forger on Cobb’s team, known for his ability to impersonate others within dreams and for providing both comic relief and tactical ingenuity in the heist.
-
B.
Inception v1
Inception v1 is the original version of Google’s Inception deep convolutional neural network architecture, introduced for efficient and accurate image classification in the 2014 GoogLeNet model.
-
C.
Inception v4
Inception v4 is an advanced deep convolutional neural network model for image recognition that refines and extends earlier Inception architectures to achieve higher accuracy and efficiency.
-
D.
Inception v2
Inception v2 is an improved version of Google’s Inception convolutional neural network architecture that enhances accuracy and efficiency through refined module design and training techniques.
-
E.
Inception
Inception is a 2010 science fiction heist film directed by Christopher Nolan that explores dream manipulation and shared subconscious worlds.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad6308f8819085652d6c529ac821 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.