Triple
T18594496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Gallagher |
E454457
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Cameron Monaghan |
—
|
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: Cameron Monaghan | Statement: [Ian Gallagher, portrayedBy, Cameron Monaghan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cameron Monaghan Context triple: [Ian Gallagher, portrayedBy, Cameron Monaghan]
-
A.
Cameron Monaghan
chosen
Cameron Monaghan is an American actor and model best known for his roles in the TV series "Shameless" and "Gotham."
-
B.
Joe Keery
Joe Keery is an American actor and musician best known for his role as Steve Harrington in the Netflix series "Stranger Things."
-
C.
Callan McAuliffe
Callan McAuliffe is an Australian actor known for his breakout role in the film "Flipped" and appearances in movies such as "I Am Number Four" and "The Great Gatsby."
-
D.
Robert Sheehan
Robert Sheehan is an Irish actor known for his roles in television series such as Misfits and The Umbrella Academy, as well as films including Mortal Engines.
-
E.
Mackenzie Astin
Mackenzie Astin is an American actor known for his roles in film and television, including the TV series "The Facts of Life."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b8d76881909db1539c7150befb |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.