Triple
T33198361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Hare |
E849829
|
entity |
| Predicate | colorProcessOfFirstAppearance |
P181276
|
FINISHED |
| Object | Technicolor |
—
|
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: Technicolor | Statement: [Max Hare, colorProcessOfFirstAppearance, Technicolor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorProcessOfFirstAppearance Context triple: [Max Hare, colorProcessOfFirstAppearance, Technicolor]
-
A.
airDateOfFirstAppearance
Indicates the calendar date on which an entity (such as a character, show, or episode) was first broadcast or made publicly available.
-
B.
characterFirstAppearanceInThisPortrayal
Indicates that this is the first time the character appears in the specific portrayal or adaptation being referenced.
-
C.
yearOfFirstApparition
Indicates the calendar year in which the entity first appeared or was introduced.
-
D.
graphicStyleOfFirstAppearance
Indicates the visual or artistic style used in an entity’s first recorded appearance.
-
E.
mainSeriesFirstAppearance
Indicates the work or installment in which an entity first appears within the primary or main series continuity.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f76759b3c48190ad8f1b33596f98c4 |
completed | May 3, 2026, 3:18 p.m. |
Created at: May 1, 2026, 1:29 a.m.