Triple
T28568707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strix Television |
E722752
|
entity |
| Predicate | createdFormatThatBecame |
P191887
|
FINISHED |
| Object | Survivor (franchise) |
—
|
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: Survivor (franchise) | Statement: [Strix Television, createdFormatThatBecame, Survivor (franchise)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdFormatThatBecame Context triple: [Strix Television, createdFormatThatBecame, Survivor (franchise)]
-
A.
usedFormat
Indicates that one entity employs or applies a particular format or representation in relation to another entity.
-
B.
hadFormat
Indicates that a resource was previously available in a different format or media type than it is now.
-
C.
createdForAdaptation
Indicates that one entity was created specifically to serve as an adaptation of another entity, such as transforming the original into a new medium, format, or version.
-
D.
presentedInFormat
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
E.
hadMultipleFormatsOverTime
Indicates that the same underlying item or entity has existed in more than one format or version at different points in time.
- F. None of above. chosen
Provenance (4 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: April 28, 2026, 4:08 a.m.