Triple
T14239533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Target Books Doctor Who range |
E352969
|
entity |
| Predicate | periodOfGreatestPopularity |
P105129
|
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: [Target Books Doctor Who range, periodOfGreatestPopularity, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfGreatestPopularity Context triple: [Target Books Doctor Who range, periodOfGreatestPopularity, 1970s]
-
A.
notablePopularityPeriod
chosen
Indicates the time span during which something was especially popular or widely recognized.
-
B.
wasMostPopularInDecade
Indicates that something held the highest level of popularity among comparable items during a specified decade.
-
C.
peakYear
Indicates the year in which something reached its highest or most significant level, performance, or prominence.
-
D.
popularInCentury
Indicates that something was widely liked, influential, or commonly recognized during a specified century.
-
E.
popularInPeriod
Indicates that something is widely liked, used, or influential during a specified time period.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.