Triple
T3240322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syl Apps |
E67950
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Sylvanus Apps |
E67950
|
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: Sylvanus Apps | Statement: [Syl Apps, fullName, Sylvanus Apps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvanus Apps Context triple: [Syl Apps, fullName, Sylvanus Apps]
-
A.
Syl Apps
chosen
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.
-
B.
Appar
Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
-
C.
Appel
Appel is the surname of Jayne Appel, an American former professional basketball player who starred at Stanford University and in the WNBA.
-
D.
Flurry
Flurry is a mobile analytics and advertising platform known for providing app usage insights and monetization tools to developers.
-
E.
Telecharge
Telecharge is a major ticketing service best known for selling Broadway and other live theater tickets, particularly for productions associated with the Shubert Organization.
- 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_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_69b2774f93448190b8493b457636ae48 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.