Triple
T32192454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talky Tina doll |
E822292
|
entity |
| Predicate | inEpisodeSeriesHost |
P173299
|
FINISHED |
| Object | Rod Serling |
—
|
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: Rod Serling | Statement: [Talky Tina doll, inEpisodeSeriesHost, Rod Serling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inEpisodeSeriesHost Context triple: [Talky Tina doll, inEpisodeSeriesHost, Rod Serling]
-
A.
hostsSeries
Indicates that an entity regularly presents, moderates, or leads a particular series (such as a show, event, or program).
-
B.
coHostOf
Indicates a relationship where two or more entities jointly host the same event, program, or activity together.
-
C.
podcastHostOf
Indicates that one entity serves as the host of a particular podcast.
-
D.
hasEpisodeAbout
Indicates that a particular episode (such as of a show, podcast, or series) focuses on, discusses, or is centered around a specified subject or topic.
-
E.
wasGuestHostOf
Indicates that one entity temporarily served as a guest host for another entity’s show, program, or event.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bace6c508190a7b25ad1024151b6 |
completed | May 3, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b42902a081909126c7322858a2b3 |
completed | May 3, 2026, 2:34 a.m. |
Created at: May 1, 2026, 12:35 a.m.