Triple
T14538098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris, Ontario |
E341101
|
entity |
| Predicate | hasNotablePerson |
P304
|
FINISHED |
| Object | Syl Apps Jr. |
E341102
|
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: Syl Apps Jr. | Statement: [Paris, Ontario, hasNotablePerson, Syl Apps Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syl Apps Jr. Context triple: [Paris, Ontario, hasNotablePerson, Syl Apps Jr.]
-
A.
Syl Apps Jr.
chosen
Syl Apps Jr. is a former Canadian professional ice hockey centre who played in the NHL, notably for the Pittsburgh Penguins, during the 1970s.
-
B.
Jowny
Jowny is a music producer associated with the artist Nibiru.
-
C.
Jovie
Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
-
D.
Sylvio
Sylvio is a masculine given name, often used in Romance-language countries and associated with the variant "Silvio."
-
E.
Lyle
Lyle is a masculine given name of English origin, often used as a first name or nickname.
- 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_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5cca788190aa8762d860c78721 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.