Triple
T2152567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Face ID |
E47811
|
entity |
| Predicate | childFalseMatchRate |
P36275
|
FINISHED |
| Object | higher for children under 13 per Apple |
—
|
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: higher for children under 13 per Apple | Statement: [Face ID, childFalseMatchRate, higher for children under 13 per Apple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childFalseMatchRate Context triple: [Face ID, childFalseMatchRate, higher for children under 13 per Apple]
-
A.
childAgency
Indicates a relationship where an organization or unit operates under the authority, oversight, or control of a larger parent agency.
-
B.
childCustom
Indicates that an entity is a child in a custom-defined parent–child relationship specific to a particular context or schema.
-
C.
childStatus
Indicates the current condition, role, or state of a child entity in relation to its parent or context.
-
D.
childSystem
Indicates that one system is hierarchically subordinate to and contained within another system as its child.
-
E.
wasGivenInsteadOfChild
Indicates that one entity was provided or substituted in place of a child that would otherwise have been given.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe48ad148190a7d6cc88fd38a660 |
completed | March 7, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:44 p.m.