Triple
T7759256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Solomon |
E175975
|
entity |
| Predicate | engagementDurationTheme |
P78547
|
FINISHED |
| Object | prolonged engagement |
—
|
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: prolonged engagement | Statement: [Tom Solomon, engagementDurationTheme, prolonged engagement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagementDurationTheme Context triple: [Tom Solomon, engagementDurationTheme, prolonged engagement]
-
A.
engagementType
Indicates the specific kind or category of engagement or interaction that occurs between the related entities.
-
B.
engagementOf
Indicates a relationship where an engagement, commitment, or formal involvement is associated with or attributed to a specific entity.
-
C.
engagementPhase
Indicates the specific stage or phase an ongoing interaction, project, or relationship is currently in within its overall lifecycle.
-
D.
engagementStart
Indicates the point in time or event at which an engagement, interaction, or formal involvement between parties begins.
-
E.
engagementEnd
Indicates the point in time or event at which an engagement, involvement, or active participation between entities concludes.
- F. None of above. chosen
Provenance (4 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c70524c3948190a163dc5f4ecdffa7 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 4:09 p.m.