Triple
T31173031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Swan |
E794664
|
entity |
| Predicate | unknowinglyMisses |
P165580
|
FINISHED |
| Object | opportunity for love |
—
|
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: opportunity for love | Statement: [David Swan, unknowinglyMisses, opportunity for love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unknowinglyMisses Context triple: [David Swan, unknowinglyMisses, opportunity for love]
-
A.
ignorantOf
Indicates that one entity lacks knowledge or awareness of another entity or of some specific fact, topic, or situation.
-
B.
neverMisses
Indicates that the subject consistently succeeds in performing an action or achieving a target without ever failing.
-
C.
failsToPerceive
chosen
Indicates that an entity does not notice, detect, or become aware of another entity or event that is present or occurring.
-
D.
unknowinglyMarried
Indicates that one person is married to another without being aware of the marital relationship.
-
E.
misjudges
Indicates that one entity forms an incorrect or unfair opinion or assessment about another entity or situation.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:07 p.m.