Triple
T3659775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tenth Planet |
E77619
|
entity |
| Predicate | featuresFirstRegenerationInSeries |
P50198
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Tenth Planet, featuresFirstRegenerationInSeries, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFirstRegenerationInSeries Context triple: [The Tenth Planet, featuresFirstRegenerationInSeries, true]
-
A.
featuresRegeneration
Indicates that an entity possesses the ability to regenerate or regrow lost or damaged parts.
-
B.
regenerationContinuedIn
Indicates that an ongoing process of regeneration persists or is maintained within a specified context, location, or time period.
-
C.
regenerationRetcon
Indicates a continuity-altering change where a character’s regeneration or renewal is retroactively modified, redefined, or overwritten in the narrative.
-
D.
featuresReimaginedVersionOf
Indicates that something includes or presents a newly interpreted or updated version of another existing work or element.
-
E.
regenerationOf
Indicates that one entity is the renewed, restored, or regrown version of another entity, typically after damage, loss, or degradation.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d5e5f881909c7c105827d41071 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb847e9d881909dad2ffd0f3b6c15 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb97cdb788190a5ce96b21bd157ab |
completed | March 8, 2026, 6:01 p.m. |
Created at: March 8, 2026, 3:25 p.m.