Triple
T35965823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan York |
E1040138
|
entity |
| Predicate | sharesSubjectMatterWith |
P76081
|
FINISHED |
| Object | Disney Channel original programming |
—
|
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: Disney Channel original programming | Statement: [Morgan York, sharesSubjectMatterWith, Disney Channel original programming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesSubjectMatterWith Context triple: [Morgan York, sharesSubjectMatterWith, Disney Channel original programming]
-
A.
sharesSubjectWith
chosen
Indicates that two items are associated with or pertain to the same subject or topic.
-
B.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
C.
sharesSectionsWith
Indicates that two entities have one or more sections or segments in common.
-
D.
sharesFieldWith
Indicates that two entities are involved in or associated with the same field, discipline, or area of specialization.
-
E.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00781b749c8190921c46e110cae0b0 |
completed | May 10, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_6a0077df3c8481909fabc9e84f5936e3 |
completed | May 10, 2026, 12:19 p.m. |
Created at: May 3, 2026, 4:07 p.m.