Triple
T24202421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunther |
E600016
|
entity |
| Predicate | stableMate |
P154548
|
FINISHED |
| Object | Ludwig Kaiser |
—
|
NE NERFINISHED |
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: Ludwig Kaiser | Statement: [Gunther, stableMate, Ludwig Kaiser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stableMate Context triple: [Gunther, stableMate, Ludwig Kaiser]
-
A.
stablemate
chosen
Indicates that two racehorses are trained in the same stable or under the same trainer.
-
B.
matchmaker
Indicates that one entity facilitates or arranges a romantic or marital relationship between two other entities.
-
C.
starPairing
Indicates a relationship where two stars are associated or grouped together as a pair, typically for observational, analytical, or classificatory purposes.
-
D.
matches
Indicates that two entities correspond to or are in agreement with each other according to some defined criteria or pattern.
-
E.
mate
Indicates that two entities engage in or are involved in a reproductive pairing or breeding relationship.
- F. None of above.
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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca2d6708190ba20d00870d0af49 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.