Triple
T3240365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syl Apps |
E67950
|
entity |
| Predicate | grandchild |
P5572
|
FINISHED |
| Object |
Syl Apps III
Syl Apps III is a former Canadian professional ice hockey player and member of the prominent Apps hockey family.
|
E342299
|
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: Syl Apps III | Statement: [Syl Apps, grandchild, Syl Apps III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syl Apps III Context triple: [Syl Apps, grandchild, Syl Apps III]
-
A.
Syl Apps Jr.
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.
Syl Apps
Syl Apps was a Canadian professional ice hockey centre and Hall of Famer best known as a star player for the Toronto Maple Leafs in the 1930s and 1940s.
-
C.
Sly Apps
Sly Apps was a Canadian Hall of Fame center renowned for his scoring prowess and two-way play with the Toronto Maple Leafs in the 1930s and 1940s.
-
D.
Sylver
Sylver is a Belgian Eurodance and trance music group known for early-2000s club hits like "Turn the Tide" and "Forgiven."
-
E.
Upstart
Upstart is an event-based init daemon developed for Linux systems to manage services and system startup and shutdown.
- 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: Syl Apps III Triple: [Syl Apps, grandchild, Syl Apps III]
Generated description
Syl Apps III is a former Canadian professional ice hockey player and member of the prominent Apps hockey family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Syl Apps III Target entity description: Syl Apps III is a former Canadian professional ice hockey player and member of the prominent Apps hockey family.
-
A.
Syl Apps Jr.
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.
Syl Apps
Syl Apps was a Canadian professional ice hockey centre and Hall of Famer best known as a star player for the Toronto Maple Leafs in the 1930s and 1940s.
-
C.
Sly Apps
Sly Apps was a Canadian Hall of Fame center renowned for his scoring prowess and two-way play with the Toronto Maple Leafs in the 1930s and 1940s.
-
D.
Sylver
Sylver is a Belgian Eurodance and trance music group known for early-2000s club hits like "Turn the Tide" and "Forgiven."
-
E.
Upstart
Upstart is an event-based init daemon developed for Linux systems to manage services and system startup and shutdown.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef6430081909084589f6eea5c7e |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eadeff481909bd48cdf51044f86 |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b28f9e12488190b93355b783300264 |
completed | March 12, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2c092063481909982dea3f71c00c1 |
completed | March 12, 2026, 1:33 p.m. |
Created at: March 8, 2026, 3:08 p.m.