Triple
T20923343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Scherbatsky |
E515270
|
entity |
| Predicate | cannotHaveChildren |
P141695
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Robin Scherbatsky, cannotHaveChildren, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotHaveChildren Context triple: [Robin Scherbatsky, cannotHaveChildren, true]
-
A.
hasNoChildren
Indicates that the subject entity does not have any children associated with it.
-
B.
hasNoChildrenWith
Indicates that two entities do not have any children together as a result of their relationship.
-
C.
hasNoDescendants
Indicates that the subject entity does not have any descendants or offspring in the relevant hierarchy or lineage.
-
D.
cannotBelongTo
Indicates that one entity is not allowed or not able to be a member, part, or element of another entity or group.
-
E.
cannotBeConstructedWith
Indicates that one entity cannot be created, formed, or assembled using the other entity or set of entities as components, resources, or methods.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6504c30819084e8cabab98d08f7 |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:49 p.m.