Triple
T26425418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton-Hudson Corporation |
E664357
|
entity |
| Predicate | mergedComponent |
P77
|
FINISHED |
| Object | J.L. Hudson Company |
—
|
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: J.L. Hudson Company | Statement: [Dayton-Hudson Corporation, mergedComponent, J.L. Hudson Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mergedComponent Context triple: [Dayton-Hudson Corporation, mergedComponent, J.L. Hudson Company]
-
A.
mergedBy
Indicates that one entity is combined or integrated into another entity through the action or decision of a specific agent.
-
B.
componentFrom
Indicates that one entity is derived from, produced by, or originates as a component of another entity.
-
C.
mergedInto
chosen
Indicates that one entity has been combined with and absorbed into another entity, ceasing to exist as a separate unit.
-
D.
linkedComponent
Indicates that one component is connected or associated with another component in a way that they function or are treated as related parts of a larger whole.
-
E.
mergedOrReorganized
Indicates that one entity has combined with or been structurally reorganized into another entity, resulting in a changed or unified organizational form.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 26, 2026, 11:45 p.m.