Triple
T26896485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen Fever |
E677910
|
entity |
| Predicate | firstShownWith |
P27326
|
FINISHED |
| Object | Cinderella (2015 film) |
—
|
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: Cinderella (2015 film) | Statement: [Frozen Fever, firstShownWith, Cinderella (2015 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstShownWith Context triple: [Frozen Fever, firstShownWith, Cinderella (2015 film)]
-
A.
firstPresentedFor
chosen
Indicates that one entity was initially introduced, submitted, or shown to another entity at a particular time or context.
-
B.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
C.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
-
D.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
E.
firstReleasedAs
Indicates the original title or form under which an entity (such as a work, product, or version) was initially released before any later re-releases, renamings, or editions.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: April 27, 2026, 5:48 a.m.