Triple
T78322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordstrom |
E1567
|
entity |
| Predicate | familyControlled |
P4852
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nordstrom, familyControlled, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyControlled Context triple: [Nordstrom, familyControlled, true]
-
A.
family
Indicates a familial relationship or connection between entities, such as being related by blood, marriage, or adoption.
-
B.
TVShare
Indicates a relationship where one entity shares access to or usage of a television (or TV-related content/service) with another entity.
-
C.
parent
Indicates a relationship where one entity is the direct mother or father of another entity, from whom that other entity is descended.
-
D.
familySeat
Indicates the traditional principal residence or ancestral home associated with a particular family or lineage.
-
E.
children
Indicates that one entity is the offspring or direct descendant of another entity.
- F. None of above. chosen
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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2559892dc81909303f2eefdc0025f |
completed | Feb. 28, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69a24eaf99e481908e8d314577e22ecf |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a25597b6c48190849c3e9e6351b983 |
completed | Feb. 28, 2026, 2:40 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.