Triple
T24534134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stars in Their Eyes |
E606897
|
entity |
| Predicate | hasChildVersion |
P6882
|
FINISHED |
| Object | Stars in Their Eyes Kids |
—
|
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: Stars in Their Eyes Kids | Statement: [Stars in Their Eyes, hasChildVersion, Stars in Their Eyes Kids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildVersion Context triple: [Stars in Their Eyes, hasChildVersion, Stars in Their Eyes Kids]
-
A.
hasVersionIn
Indicates that one entity exists as a specific version or variant within the context, format, or system represented by another entity.
-
B.
hasSubsequentVersion
Indicates that one entity is a later or updated version that follows another entity in a version sequence.
-
C.
has child
chosen
Indicates that one entity is the parent of another entity, which is its child.
-
D.
hasSmallerVersion
Indicates that one entity exists as a reduced-size or smaller-scale version of another entity.
-
E.
containsNewVersionOf
Indicates that one entity includes or embeds a newer version of another entity.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.