Triple
T26793340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Salter |
E670577
|
entity |
| Predicate | emotionalStanceTowardNick |
P70674
|
FINISHED |
| Object | protective |
—
|
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: protective | Statement: [Janet Salter, emotionalStanceTowardNick, protective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionalStanceTowardNick Context triple: [Janet Salter, emotionalStanceTowardNick, protective]
-
A.
isNeutralAbout
Indicates that one entity has no strong positive or negative opinion, preference, or stance toward another entity or subject.
-
B.
emotionalFocusOf
Indicates that one entity is the primary target or center of another entity’s emotions or emotional attention.
-
C.
isSympatheticTo
chosen
Indicates that one entity feels or expresses compassion, understanding, or emotional support toward another entity.
-
D.
emotionalCounterpartOf
Indicates that one entity serves as the emotional equivalent, complement, or matching emotional role of another entity.
-
E.
emotionChip
Indicates that an entity possesses or is equipped with an emotion chip that enables emotional processing or simulation.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 4:17 a.m.