Triple
T7926571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duane Eddy |
E184078
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eddy |
E27753
|
NE FINISHED |
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: Eddy | Statement: [Duane Eddy, familyName, Eddy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddy Context triple: [Duane Eddy, familyName, Eddy]
-
A.
Eddy
chosen
Eddy is the married surname of Mary Baker Eddy, the American religious leader who founded Christian Science.
-
B.
Eddy
Eddy is a small-time card sharp and hustler who leads his friends into a disastrous high-stakes gambling scheme in the British crime comedy film "Lock, Stock and Two Smoking Barrels."
-
C.
Eddy
Eddy is the loud, scheming, and money-obsessed leader of the trio in the animated television series "Ed, Edd n Eddy."
-
D.
Edd
Edd, also known as "Double D," is the intelligent, polite, and neurotic member of the trio in the animated series *Ed, Edd n Eddy*, recognized for his beanie hat and inventive problem-solving.
-
E.
Edd
Edd is a coastal town in Eritrea known for its location along the Red Sea in the country’s Northern Red Sea Region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aae51388190aaedbccd8a16f0ca |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bf89a0c81908e1cb988c0bc1d62 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:07 p.m.