Triple
T29026538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ende vom Lied |
E737607
|
entity |
| Predicate | dedicatedWithCycleTo |
P168123
|
FINISHED |
| Object | Anna Robena Laidlaw |
—
|
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: Anna Robena Laidlaw | Statement: [Ende vom Lied, dedicatedWithCycleTo, Anna Robena Laidlaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedWithCycleTo Context triple: [Ende vom Lied, dedicatedWithCycleTo, Anna Robena Laidlaw]
-
A.
dedicatedCycleTo
Indicates that a particular cycle, period, or iteration is specifically allocated or reserved for a given purpose, task, or entity.
-
B.
basedOnCycle
Indicates a relationship where one process, event, or state is determined by, derived from, or structured around a repeating cycle.
-
C.
pairedCycle
Indicates a relationship where two cycles are associated or matched together as corresponding counterparts.
-
D.
cycleWith
Indicates that two or more entities participate together in a cycling activity, such as riding bicycles along the same route or at the same time.
-
E.
dedicated
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
- F. None of above. chosen
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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 9:53 a.m.