Triple
T18353531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrick-on-Suir |
E439729
|
entity |
| Predicate | hometownOf |
P22139
|
FINISHED |
| Object | Tom Clancy |
—
|
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 Clancy | Statement: [Carrick-on-Suir, hometownOf, Tom Clancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Clancy Context triple: [Carrick-on-Suir, hometownOf, Tom Clancy]
-
A.
Tom Clancy
Tom Clancy was a bestselling American novelist renowned for his detailed military and espionage thrillers such as "The Hunt for Red October" and the Jack Ryan series.
-
B.
Tom Clancy
chosen
Tom Clancy was an Irish folk singer best known as a founding member of the influential group The Clancy Brothers, which popularized Irish traditional music internationally in the mid-20th century.
-
C.
John Clancy
John Clancy is a theatre orchestrator best known for his work on the Broadway musical adaptation of "Mean Girls."
-
D.
John Clancy
John Clancy is a leading architect and key figure at the prominent Irish architectural firm Scott Tallon Walker Architects.
-
E.
Robert Ludlum
Robert Ludlum was an American author best known for his fast-paced espionage and thriller novels, including the Jason Bourne series.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d37bc08190abc9b4e8c937c914 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.