Triple
T29779907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Me, Myself & I |
E755482
|
entity |
| Predicate | hasProductionLocationRegion |
P156795
|
FINISHED |
| Object | East Coast United States |
—
|
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: East Coast United States | Statement: [Me, Myself & I, hasProductionLocationRegion, East Coast United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionLocationRegion Context triple: [Me, Myself & I, hasProductionLocationRegion, East Coast United States]
-
A.
hasPrimaryProductionLocation
Indicates that an entity’s main or principal place where it is produced or manufactured is a specified location.
-
B.
intendedProductionRegion
chosen
Indicates the geographic area or region where something is planned or designated to be produced.
-
C.
productionLocationType
Indicates the type or nature of the location where a product, item, or work is produced.
-
D.
majorProducerRegion
Indicates that a region is a primary or significant producer of a particular product, resource, or commodity.
-
E.
isProducedIn
Indicates that something is created, manufactured, or generated within a particular place, context, or process.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
Created at: April 28, 2026, 8:49 p.m.