Triple
T23486703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BRMB |
E570551
|
entity |
| Predicate | sharesOrganizationWith |
P9958
|
FINISHED |
| Object | Cornell Big Red Pep Band |
—
|
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: Cornell Big Red Pep Band | Statement: [BRMB, sharesOrganizationWith, Cornell Big Red Pep Band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesOrganizationWith Context triple: [BRMB, sharesOrganizationWith, Cornell Big Red Pep Band]
-
A.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
B.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
-
C.
sharesUmbrellaOrganizationWith
chosen
Indicates that two entities are affiliated with or operate under the same overarching parent or umbrella organization.
-
D.
shareWith
Indicates that something is given, disclosed, or made accessible by one entity to another entity.
-
E.
sharesAuthorWith
Indicates that two entities have at least one author in common.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a754825481909b005ca5654c3159 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:04 p.m.