Triple
T5067554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaten Matarazzo |
E114179
|
entity |
| Predicate | hasCleidocranialDysplasiaCharityInvolvement |
P61065
|
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: [Gaten Matarazzo, hasCleidocranialDysplasiaCharityInvolvement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCleidocranialDysplasiaCharityInvolvement Context triple: [Gaten Matarazzo, hasCleidocranialDysplasiaCharityInvolvement, true]
-
A.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
-
B.
hasCharitySingle
Indicates that an entity is associated with exactly one specific charitable organization or charitable initiative.
-
C.
charityNumber
Indicates that an entity is associated with a specific registered charity identification number.
-
D.
charityComponent
Indicates that one entity functions as a charitable element, feature, or part within another entity or larger arrangement.
-
E.
diagnosedWith
Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749bf69c819093e75dce56f1c0ab |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:38 p.m.