Triple
T29661729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storytellers statue |
E750425
|
entity |
| Predicate | differenceFromPartnersStatue |
P167577
|
FINISHED |
| Object | depicts a younger Walt Disney |
—
|
LITERAL 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: depicts a younger Walt Disney | Statement: [Storytellers statue, differenceFromPartnersStatue, depicts a younger Walt Disney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromPartnersStatue Context triple: [Storytellers statue, differenceFromPartnersStatue, depicts a younger Walt Disney]
-
A.
differenceFromStates
Indicates that one state or condition is distinct from, or deviates in some way from, another state or condition.
-
B.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
C.
ownershipDifferenceFrom
Indicates a relationship where the ownership status or set of owners of one entity differs from that of another entity.
-
D.
differenceFromStreetPass
Indicates a relationship where something is distinguished from or contrasted with the StreetPass feature, highlighting how it differs in behavior, function, or characteristics.
-
E.
partnerRank
Indicates the relative status or level assigned to a partner within a partnership or collaboration hierarchy.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f671c062c08190bfe6b51c4edc80a5 |
completed | May 2, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:58 p.m.