Triple
T23853818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triangle Waist Company |
E592247
|
entity |
| Predicate | founderNickname |
P110827
|
FINISHED |
| Object | Max Blanck was known as a "shirtwaist king" |
—
|
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: Max Blanck was known as a "shirtwaist king" | Statement: [Triangle Waist Company, founderNickname, Max Blanck was known as a "shirtwaist king"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: founderNickname Context triple: [Triangle Waist Company, founderNickname, Max Blanck was known as a "shirtwaist king"]
-
A.
founderAlsoKnownAs
chosen
Indicates that an individual who is a founder of something is also known by an alternative name or alias.
-
B.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
C.
founderNameVariant
Indicates that the object is an alternative or variant form of the name of the entity’s founder.
-
D.
founderTitle
Indicates the formal role or title held by a person in their capacity as a founder of an organization or entity.
-
E.
founderHonorific
Indicates that an honorific title or respectful designation is used when referring to the founder in this relationship.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98954748190b39e0ac69e5625f9 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.