Triple
T15691950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison (Splash) |
E380351
|
entity |
| Predicate | nameChoiceContext |
P5948
|
FINISHED |
| Object | chooses the name after seeing a Madison Avenue street sign |
—
|
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: chooses the name after seeing a Madison Avenue street sign | Statement: [Madison (Splash), nameChoiceContext, chooses the name after seeing a Madison Avenue street sign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameChoiceContext Context triple: [Madison (Splash), nameChoiceContext, chooses the name after seeing a Madison Avenue street sign]
-
A.
nameChosenToBe
chosen
Indicates that an entity has been given or selected to have a particular name.
-
B.
nameElementIn
Indicates that an entity is (or contains) a specific name element within a larger naming structure or system.
-
C.
nameType
Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
-
D.
nameElement
Indicates that one entity serves as the name or label assigned to another entity or element.
-
E.
namesakeType
Indicates the specific kind or category of namesake relationship that exists between two entities (for example, one being named after the other as a person, place, event, or object).
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.