Triple
T37205186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Grove retirement community |
E922149
|
entity |
| Predicate | usedByCharacterFor |
P194589
|
FINISHED |
| Object | placing his mother Livia Soprano in senior care |
—
|
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: placing his mother Livia Soprano in senior care | Statement: [Green Grove retirement community, usedByCharacterFor, placing his mother Livia Soprano in senior care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByCharacterFor Context triple: [Green Grove retirement community, usedByCharacterFor, placing his mother Livia Soprano in senior care]
-
A.
usedByCharacter
Indicates that something (such as an item, ability, or resource) is utilized or employed by a particular character.
-
B.
usedByOtherCharacters
Indicates that the entity is utilized, employed, or otherwise made use of by one or more other characters.
-
C.
exploitedByCharacter
Indicates that a character takes unfair advantage of, manipulates, or otherwise uses another entity for their own benefit.
-
D.
supportedByCharacter
Indicates that an entity receives backing, assistance, or endorsement from a specific character.
-
E.
givenByCharacter
Indicates that something (such as an item, information, or assistance) is provided or handed over by a particular character.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fd7b042a548190b3abe31bc3258278 |
completed | May 8, 2026, 5:56 a.m. |
Created at: May 3, 2026, 4:15 p.m.