Triple
T13000923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Schneider |
E322165
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object |
SC Langenthal
SC Langenthal is a Swiss professional ice hockey club based in Langenthal that competes in the country’s national league system.
|
E1016585
|
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: SC Langenthal | Statement: [Eric Schneider, playedFor, SC Langenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SC Langenthal Context triple: [Eric Schneider, playedFor, SC Langenthal]
-
A.
Schifflange
Schifflange is a town and commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s second-largest city, Esch-sur-Alzette.
-
B.
Seyler
Seyler is a surname most notably associated with English character actress Athene Seyler.
-
C.
Siegbach
Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
-
D.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
E.
Wankdorf
Wankdorf is a well-known football stadium complex in Bern, Switzerland, historically associated with BSC Young Boys and major international matches.
- 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: SC Langenthal Triple: [Eric Schneider, playedFor, SC Langenthal]
Generated description
SC Langenthal is a Swiss professional ice hockey club based in Langenthal that competes in the country’s national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SC Langenthal Target entity description: SC Langenthal is a Swiss professional ice hockey club based in Langenthal that competes in the country’s national league system.
-
A.
Schifflange
Schifflange is a town and commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s second-largest city, Esch-sur-Alzette.
-
B.
Seyler
Seyler is a surname most notably associated with English character actress Athene Seyler.
-
C.
Siegbach
Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
-
D.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
E.
Wankdorf
Wankdorf is a well-known football stadium complex in Bern, Switzerland, historically associated with BSC Young Boys and major international matches.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9828748190b2ad9ea29180b7d3 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c103e49c8190a140527f24b5c799 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c562d10c8190b76dbf50a0101bae |
completed | May 3, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c635fc888190891a79da9d7984a0 |
completed | May 3, 2026, 3:51 a.m. |
Created at: April 9, 2026, 8:47 p.m.