Triple
T10130213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Deezen |
E226317
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Eddie |
E38494
|
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: Eddie | Statement: [Eddie Deezen, givenName, Eddie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Context triple: [Eddie Deezen, givenName, Eddie]
-
A.
Eddie
chosen
Eddie is a common diminutive form of the given name Edward, often used as a familiar or informal nickname.
-
B.
Eddie
Eddie is the shipboard computer with a relentlessly cheerful personality from Douglas Adams' science fiction series "The Hitchhiker's Guide to the Galaxy."
-
C.
Eddie
Eddie is a fictional character from Bruce Springsteen’s song “Meeting Across the River,” portrayed as a small-time hustler hoping for one last chance at a big score.
-
D.
Eddie
Eddie is the lovable, scene-stealing Jack Russell Terrier from the TV sitcom "Frasier," known for his expressive stares and close bond with Martin Crane.
-
E.
Eddie
Eddie is a dim-witted but good-natured Springfield police officer and sidekick to Chief Wiggum on the animated TV series "The Simpsons."
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33438988190be45878f98695816 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc7c50b08190a04aa2f58a6c300a |
completed | April 5, 2026, 8:56 p.m. |
Created at: March 30, 2026, 9:05 p.m.