Triple
T33716842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronnie McDowell |
E863897
|
entity |
| Predicate | hasNotableDecadeOfActivity |
P1483
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Ronnie McDowell, hasNotableDecadeOfActivity, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableDecadeOfActivity Context triple: [Ronnie McDowell, hasNotableDecadeOfActivity, 1970s]
-
A.
activeInDecade
chosen
Indicates that an entity was active or engaged in its primary activities during a specified decade.
-
B.
historicallyActiveIn
Indicates that an entity was active or engaged in significant activities within a particular place or context during a past historical period.
-
C.
notableYearOfActivity
Indicates the specific year during which an entity was particularly active, prominent, or notable in its activities or impact.
-
D.
hasNotableYear
Indicates that an entity is associated with a specific year that is particularly significant or noteworthy for it.
-
E.
hasNotableEarlyCareerAppearanceOf
Indicates that an entity features or includes a significant appearance by another entity during the latter’s early career.
- 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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01e3a2d0e08190a7d5622920dc56e6 |
completed | May 11, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_6a01e3013e7881909f0cdca25a53c009 |
completed | May 11, 2026, 2:09 p.m. |
Created at: May 1, 2026, 1:44 a.m.