Triple
T171348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toto (memorial to the dog from The Wizard of Oz) |
E3127
|
entity |
| Predicate | hasAssociatedMedium |
P7961
|
FINISHED |
| Object | film |
—
|
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: film | Statement: [Toto (memorial to the dog from The Wizard of Oz), hasAssociatedMedium, film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedMedium Context triple: [Toto (memorial to the dog from The Wizard of Oz), hasAssociatedMedium, film]
-
A.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
B.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
C.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
-
D.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
E.
hasAssociatedCulture
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
- 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a25a3f9d188190aacf5791273e2c65 |
completed | Feb. 28, 2026, 3 a.m. |
| PD | Predicate disambiguation | batch_69a25667717c8190bac5108366e2178d |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a25a3ee6d08190a451ddba7504ce9b |
completed | Feb. 28, 2026, 3 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.