Triple
T14538119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syl Apps Jr. |
E341102
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Syl
Syl is the familiar short form of the name Syl Apps Jr., a Canadian former professional ice hockey player who starred as a center in the NHL during the 1970s.
|
E1103944
|
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 | Statement: [Syl Apps Jr., givenName, Syl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syl Context triple: [Syl Apps Jr., givenName, Syl]
-
A.
SYL
SYL is the National Rail station code for Syon Lane railway station in west London, England.
-
B.
Schlyter
Schlyter is a Swedish surname most notably associated with figures such as politician Carl Schlyter.
-
C.
Sylver
Sylver is a Belgian Eurodance and trance music group known for early-2000s club hits like "Turn the Tide" and "Forgiven."
-
D.
Silay
Silay is a heritage-rich city in the Philippine province of Negros Occidental, known for its well-preserved ancestral houses and cultural history.
-
E.
Sulop
Sulop is a municipality in the province of Davao del Sur in the Philippines, known for its predominantly agricultural economy and rural communities.
- 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 Triple: [Syl Apps Jr., givenName, Syl]
Generated description
Syl is the familiar short form of the name Syl Apps Jr., a Canadian former professional ice hockey player who starred as a center in the NHL during the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Syl Target entity description: Syl is the familiar short form of the name Syl Apps Jr., a Canadian former professional ice hockey player who starred as a center in the NHL during the 1970s.
-
A.
SYL
SYL is the National Rail station code for Syon Lane railway station in west London, England.
-
B.
Schlyter
Schlyter is a Swedish surname most notably associated with figures such as politician Carl Schlyter.
-
C.
Sylver
Sylver is a Belgian Eurodance and trance music group known for early-2000s club hits like "Turn the Tide" and "Forgiven."
-
D.
Silay
Silay is a heritage-rich city in the Philippine province of Negros Occidental, known for its well-preserved ancestral houses and cultural history.
-
E.
Sulop
Sulop is a municipality in the province of Davao del Sur in the Philippines, known for its predominantly agricultural economy and rural communities.
- 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_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. |
| NEDg | Description generation | batch_69fd7b1452d48190b95187cc6b6e5b6a |
completed | May 8, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7b9387988190abb20ea06c04d6cc |
completed | May 8, 2026, 5:58 a.m. |
Created at: April 10, 2026, 1:22 a.m.