Triple
T30277664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvarez family |
E769996
|
entity |
| Predicate | hasPrimaryCaregiver |
P69654
|
FINISHED |
| Object | Penelope Alvarez |
—
|
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: Penelope Alvarez | Statement: [Alvarez family, hasPrimaryCaregiver, Penelope Alvarez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryCaregiver Context triple: [Alvarez family, hasPrimaryCaregiver, Penelope Alvarez]
-
A.
caregiverOf
Indicates a relationship where one entity provides ongoing care, support, or supervision for another entity’s well-being.
-
B.
hasParentalUnit
chosen
Indicates that an entity has a parent or guardian that serves as its primary caregiving or parental figure.
-
C.
hasChildInCare
Indicates that one entity has responsibility for caring for another entity in a child or dependent role.
-
D.
hasChildCare
Indicates that an entity provides, offers, or is associated with child care services or facilities for children.
-
E.
hasNotableSitter
Indicates that an entity (such as a portrait, artwork, or photograph) features a specific notable person as the subject who is depicted or posed in it.
- 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_69f224868fa8819099127eaf8855a28f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ffc7b4c7f88190b6357a44e7f0940f |
completed | May 9, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69ffc755f09c8190995ca00d97336988 |
completed | May 9, 2026, 11:46 p.m. |
Created at: April 29, 2026, 7:44 p.m.