Triple
T31173054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Swan |
E794664
|
entity |
| Predicate | knowledgeOfMissedEvents |
P93489
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [David Swan, knowledgeOfMissedEvents, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowledgeOfMissedEvents Context triple: [David Swan, knowledgeOfMissedEvents, none]
-
A.
knowledgeOfPastEvents
chosen
Indicates that an entity is aware of or has information about events that occurred in the past.
-
B.
missedSeason
Indicates that an entity did not participate in or was absent for a particular season of an activity, event, or series.
-
C.
ifDayMissed
Indicates that a specified condition or consequence applies when a particular day has been missed.
-
D.
mainEventsAttended
Indicates that an entity has attended one or more primary or major events associated with another entity.
-
E.
includesEvents
Indicates that one entity contains or encompasses one or more events as part of its scope or composition.
- 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.