Triple
T12588474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Callaghan |
E300532
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Patrick Callaghan |
E300532
|
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: Patrick Callaghan | Statement: [Patrick Callaghan, name, Patrick Callaghan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Callaghan Context triple: [Patrick Callaghan, name, Patrick Callaghan]
-
A.
Patrick Callaghan
chosen
Patrick Callaghan is a person notable enough to be recognized as a significant bearer of the surname Callaghan.
-
B.
Richard Callaghan
Richard Callaghan is a prominent American figure skating coach best known for guiding Olympic champion Tara Lipinski to international success.
-
C.
Michael Callaghan
Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
-
D.
Richard O'Callaghan
Richard O'Callaghan is a British actor known for his roles in film, television, and theatre, particularly in the later entries of the "Carry On" comedy series.
-
E.
Brian Callaghan
Brian Callaghan is a personal name shared by multiple individuals, typically of Irish or British origin, who may be notable in various professional or public contexts.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bd5e8c8190a2f233b91682341f |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e2588b448190b5dc5a5d37fd1897 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 5:06 p.m.