Triple
T14566115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colm Joseph Feore |
E341788
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Feore
Feore is a surname most notably associated with Canadian-American actor Colm Feore, known for his work in film, television, and theatre.
|
E1107297
|
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: Feore | Statement: [Colm Joseph Feore, familyName, Feore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feore Context triple: [Colm Joseph Feore, familyName, Feore]
-
A.
Freur
Freur was a Welsh new wave and synth-pop band from the early 1980s that later evolved into the electronic music group Underworld.
-
B.
Fiura
Fiura is a malevolent female spirit from Chilote mythology, known for her grotesque appearance and for causing illness, misfortune, and enchantments to those who encounter her.
-
C.
Faist
Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
-
D.
Ferae
Ferae is a mammalian clade that primarily includes carnivorans (such as dogs, cats, and bears) and pangolins, reflecting a close evolutionary relationship between these groups.
-
E.
Ferch
Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
- 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: Feore Triple: [Colm Joseph Feore, familyName, Feore]
Generated description
Feore is a surname most notably associated with Canadian-American actor Colm Feore, known for his work in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Feore Target entity description: Feore is a surname most notably associated with Canadian-American actor Colm Feore, known for his work in film, television, and theatre.
-
A.
Freur
Freur was a Welsh new wave and synth-pop band from the early 1980s that later evolved into the electronic music group Underworld.
-
B.
Fiura
Fiura is a malevolent female spirit from Chilote mythology, known for her grotesque appearance and for causing illness, misfortune, and enchantments to those who encounter her.
-
C.
Faist
Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
-
D.
Ferae
Ferae is a mammalian clade that primarily includes carnivorans (such as dogs, cats, and bears) and pangolins, reflecting a close evolutionary relationship between these groups.
-
E.
Ferch
Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac485688190a2917251a7c8721a |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8d0701208190917a0a4f5e493586 |
completed | May 8, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8da450108190b1ed174db5f100c4 |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 10, 2026, 1:23 a.m.