Triple
T32310073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Wander |
E825472
|
entity |
| Predicate | hasCollaboratedOnScoreWith |
P60681
|
FINISHED |
| Object | Harald Kloser |
E596642
|
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: Harald Kloser | Statement: [Thomas Wander, hasCollaboratedOnScoreWith, Harald Kloser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollaboratedOnScoreWith Context triple: [Thomas Wander, hasCollaboratedOnScoreWith, Harald Kloser]
-
A.
coScoredWith
Indicates that two or more entities received the same score or were evaluated with an identical scoring outcome in a shared context.
-
B.
alsoScoredFor
Indicates that an individual who scored for one team or entity has also scored for another team or entity.
-
C.
hasCollaboratedIn
chosen
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
D.
scoredAsPartOf
Indicates that an entity achieved a score or rating specifically within the context of being part of a larger group, event, or composite activity.
-
E.
isPartOfScoreBy
Indicates that something constitutes a component or segment within a larger score or musical composition.
- F. None of above.
Provenance (4 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_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a5beb9e7c308190937754d5575289d5 |
completed | July 18, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:45 a.m.