Triple
T13610202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Perk |
E325167
|
entity |
| Predicate | employsFictional |
P50195
|
FINISHED |
| Object | Gunther |
E1050658
|
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: Gunther | Statement: [Central Perk, employsFictional, Gunther]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunther Context triple: [Central Perk, employsFictional, Gunther]
-
A.
Gunther
Gunther is an Austrian professional wrestler known for his hard-hitting style and dominant championship reigns in WWE.
-
B.
Gunther
chosen
Gunther is a recurring character on the television show "Friends," best known as the bleach-blond barista and manager at the Central Perk coffeehouse who harbors an unrequited crush on Rachel.
-
C.
Burkhard
Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
-
D.
Günther
Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae56e2081909c0fd044ce3730a9 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:50 p.m.