Triple
T30933282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Anderson |
E788050
|
entity |
| Predicate | engagementLength |
P78547
|
FINISHED |
| Object | multiple years with Pam Beesly |
—
|
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: multiple years with Pam Beesly | Statement: [Roy Anderson, engagementLength, multiple years with Pam Beesly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagementLength Context triple: [Roy Anderson, engagementLength, multiple years with Pam Beesly]
-
A.
engagementRange
Indicates the distance or span within which an entity can effectively engage, interact with, or affect another entity.
-
B.
engagementOf
Indicates a relationship where an engagement, commitment, or formal involvement is associated with or attributed to a specific entity.
-
C.
engagementDurationTheme
chosen
Indicates the length of time or duration associated with an engagement (such as an event, interaction, or activity) that is characterized by a particular theme.
-
D.
engagementLevel
Indicates the degree or intensity of involvement, interest, or participation one entity has in relation to another entity, activity, or context.
-
E.
engagementScale
Indicates the degree or intensity of involvement, interest, or participation in an activity, interaction, or relationship.
- 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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f692e1aef48190b8ac1b2027013d94 |
completed | May 3, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:52 p.m.