Triple
T32351209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Search |
E826601
|
entity |
| Predicate | hadRevivalSeries |
P39594
|
FINISHED |
| Object | Star Search (2003 TV series) |
—
|
NE NERFINISHED |
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: Star Search (2003 TV series) | Statement: [Star Search, hadRevivalSeries, Star Search (2003 TV series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadRevivalSeries Context triple: [Star Search, hadRevivalSeries, Star Search (2003 TV series)]
-
A.
revivalNumberOfSeries
Indicates the ordinal position of a particular revival within the overall sequence of revivals of a series.
-
B.
hasRevivalOrRelatedSeries
chosen
Indicates that an original work has a revival, reboot, continuation, or closely related follow-up series connected to it.
-
C.
hasRevivalsIn
Indicates that something has been brought back, renewed, or reintroduced in specific times, places, or contexts.
-
D.
revivalAiredOnChannel
Indicates that a revival of a show or series was broadcast on a specific television channel.
-
E.
revivalNumberOfEpisodes
Indicates the total number of episodes produced for a revived or rebooted version of a series.
- 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_69f34914dfc48190a390cd0720d9e86f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be57c97c81909b558169bc87b1b7 |
completed | May 3, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:49 a.m.