Triple
T22225427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant Gerry Boyle |
E549325
|
entity |
| Predicate | characterIn |
P12208
|
FINISHED |
| Object | The Guard |
—
|
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: The Guard | Statement: [Sergeant Gerry Boyle, characterIn, The Guard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Guard Context triple: [Sergeant Gerry Boyle, characterIn, The Guard]
-
A.
The Guard
The Guard is a character portrayed by Frank Morgan, best remembered as the bumbling yet endearing gatekeeper at the Emerald City in the classic film "The Wizard of Oz."
-
B.
The Guard
The Guard is a character in Eugène Ionesco's absurdist play "Exit the King," serving as a figure of authority and control within the crumbling royal court.
-
C.
The Guard
chosen
The Guard is a darkly comedic Irish crime film in which Brendan Gleeson plays an unconventional small-town police officer drawn into an international drug-smuggling investigation.
-
D.
A Guarda
A Guarda is a coastal town in northwestern Spain known for its fishing heritage and the nearby ancient Celtic hillfort of Santa Trega.
-
E.
Inner Guard
The Inner Guard is a Masonic lodge officer responsible for guarding the entrance from within and controlling admission to meetings.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b93e2208190aee70ffd82962ea0 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.