Triple
T32187643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean G. Witter |
E822148
|
entity |
| Predicate | hasNameIncorporating |
P126419
|
FINISHED |
| Object | Gooderham family name |
—
|
LITERAL 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: Gooderham family name | Statement: [Dean G. Witter, hasNameIncorporating, Gooderham family name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameIncorporating Context triple: [Dean G. Witter, hasNameIncorporating, Gooderham family name]
-
A.
nameIncorporatedIn
chosen
Indicates that an entity’s name explicitly includes or incorporates the name of another entity.
-
B.
brandIncorporatedInto
Indicates that one brand has been merged into, absorbed by, or otherwise formally integrated as part of another brand.
-
C.
hasOfficialNameContaining
Indicates that an entity’s official name includes a specified substring or sequence of characters.
-
D.
incorporatedAs
Indicates that an organization has been legally formed and registered under a specific corporate structure or name.
-
E.
hasTradeName
Indicates that a product, substance, or entity is known or marketed under a specific commercial or brand name.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 1, 2026, 12:35 a.m.