Triple
T33768512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlan McClintock |
E865306
|
entity |
| Predicate | originalAirDateOfEpisode |
P6109
|
FINISHED |
| Object | 1960 |
—
|
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: 1960 | Statement: [Harlan McClintock, originalAirDateOfEpisode, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAirDateOfEpisode Context triple: [Harlan McClintock, originalAirDateOfEpisode, 1960]
-
A.
specialEpisodeAirDate
Indicates the calendar date on which a special episode is broadcast or made available to the public.
-
B.
televisionShowFirstAired
Indicates the date or time when a television show was first broadcast or premiered.
-
C.
originallyAiredOn
chosen
Indicates the date or time when a media work (such as a TV episode, radio show, or broadcast) was first publicly aired.
-
D.
airdateDetail
Indicates the specific broadcast scheduling information for something, such as its original air date, time, or related airing details.
-
E.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0361c6d76481909332b28ab01b0ef7 |
completed | May 12, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_6a0360b3818c819084bbecf705475f4f |
completed | May 12, 2026, 5:17 p.m. |
Created at: May 1, 2026, 1:45 a.m.