Triple
T17487697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mortimer |
E425816
|
entity |
| Predicate | hasFictionalBearer |
P7927
|
FINISHED |
| Object | Mortimer Brewster |
—
|
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: Mortimer Brewster | Statement: [Mortimer, hasFictionalBearer, Mortimer Brewster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortimer Brewster Context triple: [Mortimer, hasFictionalBearer, Mortimer Brewster]
-
A.
Mortimer Brewster
chosen
Mortimer Brewster is the frantic, increasingly unhinged drama critic protagonist of the dark comedy film "Arsenic and Old Lace," who discovers his seemingly sweet aunts are serial poisoners.
-
B.
Owen Brewster
Owen Brewster was a mid-20th-century American Republican politician who served as both governor of Maine and a U.S. senator.
-
C.
Ross Brewster
Ross Brewster is an actor known for his role in Ken Loach’s social-realist drama film "Sorry We Missed You."
-
D.
Ralph Winters
Ralph Winters was a film editor known for his work on numerous Hollywood movies across several decades.
-
E.
Teddy Brewster
Teddy Brewster is a comically delusional character in the dark comedy play "Arsenic and Old Lace," who believes he is President Theodore Roosevelt and energetically reenacts his imagined military exploits.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d376708190a97804529174eaf2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.