Triple
T22546393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mort |
E557439
|
entity |
| Predicate | hasNotableFictionalBearer |
P7927
|
FINISHED |
| Object | Mort Goldman |
—
|
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: Mort Goldman | Statement: [Mort, hasNotableFictionalBearer, Mort Goldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mort Goldman Context triple: [Mort, hasNotableFictionalBearer, Mort Goldman]
-
A.
Mort Goldman
chosen
Mort Goldman is a neurotic, bespectacled Jewish pharmacist and recurring comic relief character on the animated television series Family Guy.
-
B.
George Goldberg
George Goldberg was one of the children of American cartoonist and inventor Rube Goldberg.
-
C.
Bo Goldmann
Bo Goldmann is a screenwriter best known for his work on the comedy film "Armed and Dangerous."
-
D.
Thomas Goldberg
Thomas Goldberg is one of the children of American cartoonist and inventor Rube Goldberg.
-
E.
Melvyn Goldstein
Melvyn Goldstein is an American anthropologist and Tibetologist renowned for his extensive research and publications on Tibetan society, history, and language.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f35b9888190b4e1b50d5097b211 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.