Triple
T18437796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East-Link Bridge |
E450438
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Tom Clarke |
—
|
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 Clarke | Statement: [East-Link Bridge, namedAfter, Tom Clarke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Clarke Context triple: [East-Link Bridge, namedAfter, Tom Clarke]
-
A.
Tom Clarke
chosen
Tom Clarke is a common name shared by several notable individuals, including historical political figures, athletes, and artists.
-
B.
James Dunleavy
James Dunleavy is an individual notable enough to be recognized as a prominent bearer of the Dunleavy surname.
-
C.
Tom Connolly
Tom Connolly was a prominent early 20th-century American baseball umpire who became one of the first inductees into the National Baseball Hall of Fame for his officiating.
-
D.
Tom Cullen
Tom Cullen is a gentle, intellectually disabled yet perceptive survivor from Stephen King’s post-apocalyptic novel "The Stand," known for his childlike innocence and crucial role in the struggle between good and evil.
-
E.
Tom Cullen
Tom Cullen is a British actor known for his roles in film and television, including prominent appearances in series like "Downton Abbey" and "Knightfall."
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0e04508190bc851a8954ae60e8 |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:29 a.m.