Triple
T35852180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lego Harley Quinn |
E1036389
|
entity |
| Predicate | hasDualSidedHead |
P163321
|
FINISHED |
| Object | sometimes |
—
|
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: sometimes | Statement: [Lego Harley Quinn, hasDualSidedHead, sometimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDualSidedHead Context triple: [Lego Harley Quinn, hasDualSidedHead, sometimes]
-
A.
hasTwoSidedDesign
chosen
Indicates that something is designed with distinct or functional features on both of its sides.
-
B.
hasTwoMainFaces
Indicates that an entity possesses exactly two primary or most prominent faces or sides.
-
C.
hasDualSpace
Indicates that one mathematical space is the dual space consisting of all linear functionals defined on another space.
-
D.
hasASideOf
Indicates that one entity possesses or includes a particular side or face as part of its structure or boundary.
-
E.
hasDualBasis
Indicates that one mathematical structure serves as the dual basis corresponding to another basis, typically in a dual vector space.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.