Triple
T3230474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. Luke Concanen |
E67725
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Concanen
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.
|
E340762
|
NE FINISHED |
How this triple was built (4 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.
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.
-
B.
Grocon
Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
-
C.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
D.
Cellese
Cellese is a regional dialect of the Franco-Provençal language traditionally spoken in a specific area of the Franco-Provençal linguistic region.
-
E.
Noresco
Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Concanen Triple: [R. Luke Concanen, familyName, Concanen]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Concanen Target entity description: 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.
-
A.
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.
-
B.
Grocon
Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
-
C.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
D.
Cellese
Cellese is a regional dialect of the Franco-Provençal language traditionally spoken in a specific area of the Franco-Provençal linguistic region.
-
E.
Noresco
Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
- F. None of above. chosen
Provenance (5 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb99e088190a8eeca2ca53707e7 |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2772e3e2081908dec43f8e4a2fb51 |
completed | March 12, 2026, 8:19 a.m. |
| NEDg | Description generation | batch_69b27b9e39f881909627b004494856e2 |
completed | March 12, 2026, 8:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27bf5514081909418ba6740240c0a |
completed | March 12, 2026, 8:40 a.m. |
Created at: March 8, 2026, 3:08 p.m.