Triple
T17399790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Still Standing |
E423055
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mark Addy |
—
|
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: Mark Addy | Statement: [Still Standing, starring, Mark Addy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Addy Context triple: [Still Standing, starring, Mark Addy]
-
A.
Mark Addy
chosen
Mark Addy is a British actor best known for roles in films like "The Full Monty" and the TV series "Game of Thrones," where he played King Robert Baratheon.
-
B.
Peter Armitage
Peter Armitage was a British actor best known for his long-running role as Bill Webster in the soap opera "Coronation Street."
-
C.
Steve Cavanagh
Steve Cavanagh is a Northern Irish crime novelist and former lawyer best known for his Eddie Flynn legal thriller series.
-
D.
Andrew Sagar
Andrew Sagar is a film editor known for his work on the movie "The Rage."
-
E.
Michael Harnett
Michael Harnett is the birth name of Michael Hartnett, a prominent Irish poet known for his lyrical work in both English and Irish.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ac0596481908c400916d5c1b971 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.