Triple
T38111861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Haney |
E951675
|
entity |
| Predicate | originalAirDecadeOfShow |
P25503
|
FINISHED |
| Object | 1960s |
—
|
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 | Statement: [Mr. Haney, originalAirDecadeOfShow, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAirDecadeOfShow Context triple: [Mr. Haney, originalAirDecadeOfShow, 1960s]
-
A.
originallyAiredInDecade
chosen
Indicates that the original broadcast or first airing of something (such as a show or episode) occurred during a specified decade.
-
B.
airingDecadeOfWork
Indicates the decade during which a work (such as a show or series) was originally broadcast or aired.
-
C.
alsoAiredInDecade
Indicates that the subject was also broadcast or shown during the specified decade.
-
D.
productionDecade
Indicates the decade during which something (such as a work, product, or item) was produced or created.
-
E.
televisionAdaptationDecade
Indicates the decade during which a work was adapted into a television production.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.