Triple
T34596553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn Cooperage Company |
E888325
|
entity |
| Predicate | hasNotableIndustrialist |
P155089
|
FINISHED |
| Object | Charles Ranlett Flint |
E51147
|
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: Charles Ranlett Flint | Statement: [Brooklyn Cooperage Company, hasNotableIndustrialist, Charles Ranlett Flint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableIndustrialist Context triple: [Brooklyn Cooperage Company, hasNotableIndustrialist, Charles Ranlett Flint]
-
A.
hasNotableEntrepreneurInvolved
chosen
Indicates that a notable entrepreneur is involved with, associated with, or plays a significant role in the subject entity or activity.
-
B.
hasPoliticalLeaderFromIndustry
Indicates that a political leader of an entity originates from or has a primary background in a specified industry.
-
C.
hasNotablePhilanthropist
Indicates that an entity is associated with a philanthropist who is particularly notable or distinguished for their charitable activities.
-
D.
hasNotableCompany
Indicates that an entity is associated with or linked to a company that is considered notable or significant in some context.
-
E.
hasIndustrialCompany
Indicates that one entity possesses, controls, or is associated with an industrial company.
- F. None of above.
Provenance (4 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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a032d9200448190a2adcc5ee48bff01 |
completed | May 12, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4617d5a6b48190919aa1a5cac08619 |
completed | July 2, 2026, 7:48 a.m. |
| PD | Predicate disambiguation | batch_6a032c9f41f08190b1c60b0afbbac01a |
completed | May 12, 2026, 1:35 p.m. |
Created at: May 1, 2026, 2:03 a.m.