Triple
T28738768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinnamon |
E730877
|
entity |
| Predicate | sometimesCaredForBy |
P104394
|
FINISHED |
| Object | Howard Wolowitz |
—
|
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: Howard Wolowitz | Statement: [Cinnamon, sometimesCaredForBy, Howard Wolowitz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sometimesCaredForBy Context triple: [Cinnamon, sometimesCaredForBy, Howard Wolowitz]
-
A.
tookCareOf
Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
-
B.
caregiverOf
Indicates a relationship where one entity provides ongoing care, support, or supervision for another entity’s well-being.
-
C.
associatedWithAnimal
Indicates a relationship where an entity has a connection, link, or relevance to an animal.
-
D.
sitterOf
chosen
Indicates that one entity serves as a caretaker or babysitter responsible for looking after another entity.
-
E.
continuedAsCaretaker
Indicates that an entity maintained an existing caretaker role or responsibility over another entity without interruption.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6576d1f18819099ee8d00516ff93f |
completed | May 2, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69f651ada6048190a7b4a6981565dc3a |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 6:01 a.m.