Triple
T26057368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Drop Bar |
E657156
|
entity |
| Predicate | hasEntrepreneur |
P155089
|
FINISHED |
| Object | Deran Cody |
—
|
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: Deran Cody | Statement: [The Drop Bar, hasEntrepreneur, Deran Cody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEntrepreneur Context triple: [The Drop Bar, hasEntrepreneur, Deran Cody]
-
A.
hasEntrepreneurialActivity
Indicates that an entity engages in or is associated with starting, managing, or operating business or venture-related activities.
-
B.
hasEntrepreneurialSignificance
Indicates that something plays an important role in, or has notable impact on, entrepreneurial activity, opportunities, or outcomes.
-
C.
hasNotableEntrepreneurInvolved
chosen
Indicates that a notable entrepreneur is involved with, associated with, or plays a significant role in the subject entity or activity.
-
D.
typeOfEntrepreneur
Indicates the specific category or kind of entrepreneur that an entity is classified as.
-
E.
isMillennialEntrepreneur
Indicates that a person is both a member of the Millennial generation and an entrepreneur (i.e., they have founded or run a business).
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 26, 2026, 7:12 p.m.