Triple
T30608250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worzel Gummidge |
E779103
|
entity |
| Predicate | rebootFirstAired |
P102435
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Worzel Gummidge, rebootFirstAired, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rebootFirstAired Context triple: [Worzel Gummidge, rebootFirstAired, 2019]
-
A.
rebootAired
Indicates that a rebooted version of a show, series, or franchise has been broadcast or released.
-
B.
rebootPremiereDate
chosen
Indicates the date on which a rebooted version of a work (such as a series or franchise) is first released or premieres.
-
C.
firstAired
Indicates the date on which something (such as a show, episode, or broadcast content) was first aired or publicly transmitted.
-
D.
firstAiredWith
Indicates that one entity was initially broadcast or released at the same time as another entity.
-
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.
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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:26 p.m.