Triple
T31228957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Too Close for Comfort |
E796223
|
entity |
| Predicate | airedInSyndication |
P171048
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Too Close for Comfort, airedInSyndication, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airedInSyndication Context triple: [Too Close for Comfort, airedInSyndication, Yes]
-
A.
airedIn
Indicates that a media work was broadcast or shown during a specific time period or in a particular airing context.
-
B.
airedInPrimeTime
Indicates that a broadcast or program was shown during the prime-time viewing hours on television.
-
C.
airedInEpisodeNumber
Indicates that an item (such as a segment, scene, or feature) was broadcast within a specific numbered episode of a series.
-
D.
airedAsSeason
Indicates that one or more episodes or segments were broadcast together as a specific television season.
-
E.
airedOnProgramType
Indicates that an episode, segment, or content item was broadcast as part of a program of a specified type (e.g., news, documentary, sports).
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6c833c8190bf5090e970398d33 |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 29, 2026, 9:10 p.m.