Triple
T14136600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colm Feore |
E350311
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Jack Feore |
E350311
|
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: Jack Feore | Statement: [Colm Feore, child, Jack Feore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Feore Context triple: [Colm Feore, child, Jack Feore]
-
A.
Jack Feore
chosen
Jack Feore is the son of Canadian-American actor Colm Feore.
-
B.
Tim Fywell
Tim Fywell is a British film and television director known for his work on literary adaptations and period dramas.
-
C.
David Fursdon
David Fursdon is a British public servant and landowner who serves as the ceremonial representative of the Crown in the county of Devon.
-
D.
Ian Meadows
Ian Meadows is an Australian actor and writer known for his work in television, film, and theatre.
-
E.
Andrew Fikes
Andrew Fikes is a computer scientist and engineer known for his work at Google on large-scale distributed systems, including co-authoring the influential Bigtable paper.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610fb86c81909eb26bf9c13696ca |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e485fc8190aad0cce445aaec1a |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 10, 2026, 12:28 a.m.