Triple
T23551477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Tomorrow |
E578058
|
entity |
| Predicate | usesPseudonym |
P3799
|
FINISHED |
| Object | Tom Tomorrow |
—
|
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: Tom Tomorrow | Statement: [Tom Tomorrow, usesPseudonym, Tom Tomorrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Tomorrow Context triple: [Tom Tomorrow, usesPseudonym, Tom Tomorrow]
-
A.
Tom Tomorrow
chosen
Tom Tomorrow is the pen name of American cartoonist Dan Perkins, best known for his satirical comic strip "This Modern World."
-
B.
Tomorrow’s Joe
Tomorrow’s Joe is a Japanese television drama series starring Tomohisa Yamashita, adapted from the classic boxing manga "Ashita no Joe."
-
C.
Tommy Tomorrow
Tommy Tomorrow is a science fiction comic-book space adventurer from DC Comics, known for his futuristic exploits as a colonel in the Planeteers.
-
D.
Yesterday, Today and Tomorrow
"Yesterday, Today and Tomorrow" is a 1963 Italian anthology comedy film directed by Vittorio De Sica, best known for starring Sophia Loren and Marcello Mastroianni in three interlinked stories.
-
E.
How Tomorrow Moves
"How Tomorrow Moves" is the corporate slogan used by CSX Transportation to emphasize its role in modern, forward-looking freight rail services.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecf28508190b8d3396591e5e6bb |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.