Triple
T32430390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Callahan |
E828703
|
entity |
| Predicate | operatesBusinessUnderName |
P69117
|
FINISHED |
| Object | Best Man, Inc. |
—
|
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: Best Man, Inc. | Statement: [Jimmy Callahan, operatesBusinessUnderName, Best Man, Inc.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesBusinessUnderName Context triple: [Jimmy Callahan, operatesBusinessUnderName, Best Man, Inc.]
-
A.
operatesUnderName
chosen
Indicates that an entity conducts its activities or business using a particular name, which may differ from its official or legal name.
-
B.
businessName
Indicates that one entity is the official or recognized business name of another entity.
-
C.
legallyRegisteredAs
Indicates that an entity is officially recorded and recognized under a specific legal name or status in an authoritative registry.
-
D.
hasTradeName
Indicates that a product, substance, or entity is known or marketed under a specific commercial or brand name.
-
E.
hasBusinessOperationsIn
Indicates that a business or organization conducts commercial or operational activities within a specified geographic location or jurisdiction.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: May 1, 2026, 12:54 a.m.