Triple
T33977642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim O’Connor |
E871183
|
entity |
| Predicate | perceivedByAmandaAs |
P78428
|
FINISHED |
| Object | potential suitor for Laura |
—
|
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: potential suitor for Laura | Statement: [Jim O’Connor, perceivedByAmandaAs, potential suitor for Laura]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceivedByAmandaAs Context triple: [Jim O’Connor, perceivedByAmandaAs, potential suitor for Laura]
-
A.
perceivedAttribute
chosen
Indicates that one entity recognizes, interprets, or assigns a particular attribute or quality to another entity.
-
B.
perceivedByRivalsAs
Indicates that one entity is regarded or viewed in a particular way by its rivals.
-
C.
perceivedByWizardsAs
Indicates that something is regarded or understood in a particular way specifically from the perspective of wizards.
-
D.
perceivedByRubyWomenAs
Indicates that something is regarded, interpreted, or experienced in a particular way by women named Ruby.
-
E.
influencedPerceptionOf
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:50 a.m.