Triple
T23562204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tea for the Tillerman 2 |
E579271
|
entity |
| Predicate | featuresNewArrangementsOf |
P153167
|
FINISHED |
| Object | Where Do the Children Play? |
—
|
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: Where Do the Children Play? | Statement: [Tea for the Tillerman 2, featuresNewArrangementsOf, Where Do the Children Play?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresNewArrangementsOf Context triple: [Tea for the Tillerman 2, featuresNewArrangementsOf, Where Do the Children Play?]
-
A.
featuresArrangementBy
Indicates that one entity determines or specifies the spatial or structural arrangement of features in another entity.
-
B.
featuresNewMusic
Indicates that something presents or includes newly released or recently created music.
-
C.
featuresStringArrangementBy
Indicates that something presents or includes a specific arrangement or ordering of strings that is determined or provided by a particular agent or source.
-
D.
arrangementFeatures
Indicates that one entity specifies or characterizes the structural or compositional features of an arrangement involving another entity.
-
E.
featuresNewAreas
Indicates that something includes or introduces previously unavailable or unexplored sections, regions, or domains.
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af68cddc8190ab9d0b7ee1f157ed |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:23 p.m.