Triple
T30348071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | noitaminA |
E771917
|
entity |
| Predicate | hasAired |
P169410
|
FINISHED |
| Object | Honey and Clover |
—
|
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: Honey and Clover | Statement: [noitaminA, hasAired, Honey and Clover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAired Context triple: [noitaminA, hasAired, Honey and Clover]
-
A.
isAiredOn
Indicates that a broadcast or program is transmitted or shown on a particular channel, station, or platform.
-
B.
lastAired
Indicates the most recent time or date on which something (typically a broadcast or episode) was shown or transmitted.
-
C.
isAiredDuring
Indicates that an event, program, or broadcast takes place within a specified time period or schedule.
-
D.
lastAiredIn
Indicates the most recent time or place in which a recurring event, series, or broadcast was last shown or transmitted.
-
E.
originallyAiredAfter
Indicates that one item’s original broadcast date occurred later in time than another item’s original broadcast date.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68209227c81909b613d5bc9426038 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 7:56 p.m.