Triple
T32295145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naomi Kirshenbaum |
E825070
|
entity |
| Predicate | hasGuardianOrCaretaker |
P69654
|
FINISHED |
| Object | her relatives in New York |
—
|
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: her relatives in New York | Statement: [Naomi Kirshenbaum, hasGuardianOrCaretaker, her relatives in New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuardianOrCaretaker Context triple: [Naomi Kirshenbaum, hasGuardianOrCaretaker, her relatives in New York]
-
A.
hasGuardianAppointment
Indicates that an entity has a scheduled or established appointment with a designated guardian responsible for their care or representation.
-
B.
hasGuardianCharacter
Indicates that one entity serves as a guardian or protective character for another entity.
-
C.
hasGuardianReview
Indicates that something has been reviewed or critiqued in a piece published by The Guardian.
-
D.
hasParentalUnit
chosen
Indicates that an entity has a parent or guardian that serves as its primary caregiving or parental figure.
-
E.
hasGuardianCommunity
Indicates that an entity is under the protection, oversight, or care of a specific guardian community.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd3a079881909e69eec4352660cb |
completed | May 3, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:44 a.m.