Triple
T32193832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mystic Seer machine |
E822345
|
entity |
| Predicate | firstAirDateContext |
P69760
|
FINISHED |
| Object | 1960s American television |
—
|
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: 1960s American television | Statement: [Mystic Seer machine, firstAirDateContext, 1960s American television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAirDateContext Context triple: [Mystic Seer machine, firstAirDateContext, 1960s American television]
-
A.
televisionShowFirstAired
Indicates the date or time when a television show was first broadcast or premiered.
-
B.
firstAired
Indicates the date on which something (such as a show, episode, or broadcast content) was first aired or publicly transmitted.
-
C.
firstAiredWith
Indicates that one entity was initially broadcast or released at the same time as another entity.
-
D.
firstAiredDuring
chosen
Indicates that one event or media item originally premiered or was first broadcast within the time period defined by another entity.
-
E.
firstAiredOnNBC
Indicates that the subject (e.g., a show or episode) had its initial broadcast on the NBC television network.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:35 a.m.