Triple
T35217635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald Jones |
E1016857
|
entity |
| Predicate | activePeriodWith |
P181456
|
FINISHED |
| Object | early 1990s with The Flaming Lips |
—
|
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: early 1990s with The Flaming Lips | Statement: [Ronald Jones, activePeriodWith, early 1990s with The Flaming Lips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activePeriodWith Context triple: [Ronald Jones, activePeriodWith, early 1990s with The Flaming Lips]
-
A.
activePeriodApproximate
chosen
Indicates that the time span during which an entity was active is known only approximately rather than as precise dates.
-
B.
activeWithin
Indicates that an entity operates, functions, or remains valid inside a specified spatial, temporal, or contextual boundary.
-
C.
activeAt
Indicates that an entity is functioning, valid, or in effect during a specified time or at a particular location or context.
-
D.
activeWith
Indicates that an entity is currently engaged in or functioning together with another specified entity.
-
E.
activeFrom
Indicates the starting point in time from which an entity or relationship is considered active or in effect.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:02 p.m.