Triple
T29152489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Bush |
E738946
|
entity |
| Predicate | hasPrincipalVenture |
P199635
|
FINISHED |
| Object | J. Bush & Co. |
E738946
|
NE 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: J. Bush & Co. | Statement: [Jonathan Bush, hasPrincipalVenture, J. Bush & Co.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrincipalVenture Context triple: [Jonathan Bush, hasPrincipalVenture, J. Bush & Co.]
-
A.
hasEntrepreneurialActivity
Indicates that an entity engages in or is associated with starting, managing, or operating business or venture-related activities.
-
B.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
-
C.
hasVentureCapitalPresence
Indicates that a venture capital firm or investment activity is present, involved, or operating in relation to the specified entity.
-
D.
hasPrimaryInvestor
Indicates that an entity has a main or leading investor that provides the primary financial backing or funding.
-
E.
hasEntrepreneurialSignificance
Indicates that something plays an important role in, or has notable impact on, entrepreneurial activity, opportunities, or outcomes.
- F. None of above. chosen
Provenance (5 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff49f888348190b9c55afa73b99e6a |
completed | May 9, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a255066468081908a452b48d34da849 |
completed | June 7, 2026, 11:05 a.m. |
| PD | Predicate disambiguation | batch_69ff49614ef88190ac70b034c55ad738 |
completed | May 9, 2026, 2:49 p.m. |
| PDg | Predicate description generation | batch_69ff49f7db2c819094d488d13985334c |
completed | May 9, 2026, 2:51 p.m. |
Created at: April 28, 2026, 11:43 a.m.