Triple
T26835480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dipstick |
E675617
|
entity |
| Predicate | hasChildIn |
P173350
|
FINISHED |
| Object | 102 Dalmatians (2000 film) |
—
|
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: 102 Dalmatians (2000 film) | Statement: [Dipstick, hasChildIn, 102 Dalmatians (2000 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildIn Context triple: [Dipstick, hasChildIn, 102 Dalmatians (2000 film)]
-
A.
hasChildrenWith
Indicates that two entities share one or more biological or adopted children together.
-
B.
has child
Indicates that one entity is the parent of another entity, which is its child.
-
C.
hasChildOfHead
Indicates that an entity has, as a subordinate or component, another entity that is the child of its head element or primary governing part.
-
D.
isChildOf
Indicates that one entity is the offspring or direct descendant of another entity.
-
E.
hasHierarchyIn
Indicates that one entity occupies a higher or lower level within an ordered structure or chain of command relative to another entity in a specified context.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 27, 2026, 5:04 a.m.