Triple
T18081500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellie |
E432699
|
entity |
| Predicate | allies |
P2865
|
FINISHED |
| Object | Eddie |
—
|
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: Eddie | Statement: [Ellie, allies, Eddie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Context triple: [Ellie, allies, Eddie]
-
A.
Eddie
Eddie is a dim-witted but good-natured Springfield police officer and sidekick to Chief Wiggum on the animated TV series "The Simpsons."
-
B.
Eddie
Eddie is a character in Billy Joel’s song “Scenes from an Italian Restaurant,” representing one half of the nostalgic, ultimately troubled couple Brenda and Eddie.
-
C.
Eddie
Eddie is the central protagonist of the novel "Empire State," around whom the story’s events and character dynamics revolve.
-
D.
Eddie
Eddie is a minor character in John Steinbeck’s novel "Cannery Row," portrayed as one of the men who frequent the local flophouse and help define the book’s down-and-out yet tight-knit community.
-
E.
Eddie
Eddie is the nickname of Eddie Rickenbacker, a famed American World War I flying ace and Medal of Honor recipient.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fb42888190919fe711a281bd7c |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.