Triple
T17702758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Evans |
E441348
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Dale Eunson |
—
|
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: Dale Eunson | Statement: [Joan Evans, mother, Dale Eunson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dale Eunson Context triple: [Joan Evans, mother, Dale Eunson]
-
A.
Dale Eunson
chosen
Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
-
B.
Dale Denton
Dale Denton is the slacker process server protagonist of the stoner action-comedy film "Pineapple Express," known for his hapless involvement in a violent drug-fueled escapade.
-
C.
Dale Dobson
Dale Dobson is a kind-hearted but misunderstood hillbilly co-protagonist of the horror-comedy film "Tucker & Dale vs. Evil."
-
D.
Dale Winton
Dale Winton was a British television and radio presenter best known for hosting the game show "Supermarket Sweep" and various BBC entertainment programs.
-
E.
Dale Van Sickel
Dale Van Sickel was an American actor and pioneering Hollywood stuntman known for his work in numerous action films and serials from the 1930s through the 1950s.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729528b88190bd8a104f6f6d4e69 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.