Triple
T10587641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalie Green |
E249895
|
entity |
| Predicate | timePeriodOfSeriesDebut |
P69760
|
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: [Natalie Green, timePeriodOfSeriesDebut, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfSeriesDebut Context triple: [Natalie Green, timePeriodOfSeriesDebut, 1970s]
-
A.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
B.
seriesDebutContext
Indicates the context or circumstances under which a series first debuted or was initially introduced.
-
C.
firstAiredWithSeries
Indicates that an episode or installment was originally broadcast as part of the initial airing of a particular series.
-
D.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
E.
firstAiredDuring
chosen
Indicates that one event or media item originally premiered or was first broadcast within the time period defined by another entity.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5276b0ae48190b2935230363239e0 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:40 p.m.