Triple
T13516445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunger (film) |
E322771
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Stuart Graham |
E1069424
|
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: Stuart Graham | Statement: [Hunger (film), starredActor, Stuart Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Graham Context triple: [Hunger (film), starredActor, Stuart Graham]
-
A.
Stuart Graham
chosen
Stuart Graham is a Northern Irish actor known for his work in film, television, and theatre, including roles in politically charged dramas and independent cinema.
-
B.
Stuart Gilmore
Stuart Gilmore was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1960s.
-
C.
Stuart Gorrell
Stuart Gorrell was an American lyricist best known for writing the words to the classic song "Georgia on My Mind."
-
D.
Graham Rogers
Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
-
E.
Stuart Pritchard
Stuart Pritchard is the socially awkward, romantically inept British web designer in Los Angeles who serves as the main protagonist of the comedy series "Hello Ladies."
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1b300888190980173b585b27d48 |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 9, 2026, 9:44 p.m.