Triple
T14525446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. Luke Concanen |
E340762
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Concanen |
E340762
|
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: Concanen | Statement: [R. Luke Concanen, familyName, Concanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concanen Context triple: [R. Luke Concanen, familyName, Concanen]
-
A.
Concanen
chosen
Concanen is a surname most notably associated with R. Luke Concanen, an Irish-born Roman Catholic bishop and the first Bishop of New York in the early 19th century.
-
B.
Pectacon
Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
-
C.
Conaco
Conaco is a television production company created by comedian and talk show host Conan O'Brien, best known for producing his late-night shows and related projects.
-
D.
Cencora
Cencora is a global pharmaceutical services and distribution company that provides drug sourcing, logistics, and related healthcare solutions to pharmacies, hospitals, and manufacturers.
-
E.
Grocon
Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a50324481909713bbf68295e839 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.