Triple
T24440917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnie McCoy |
E616258
|
entity |
| Predicate | performingNameOrigin |
P72841
|
FINISHED |
| Object | Memphis, Tennessee |
E2650
|
NE 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: Memphis, Tennessee | Statement: [Minnie McCoy, performingNameOrigin, Memphis, Tennessee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performingNameOrigin Context triple: [Minnie McCoy, performingNameOrigin, Memphis, Tennessee]
-
A.
performingNameDerivedFrom
chosen
Indicates that the name used for a performance or performing entity is derived from another name (such as a legal, original, or canonical name).
-
B.
characterNameOrigin
Indicates the source or inspiration from which a character’s name is derived.
-
C.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
-
D.
hasNameOrigin
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
E.
hasPerformerGivenName
Indicates that a performer is associated with a specific given (first) name.
- F. None of above.
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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2978bb5a0819087ef151937923b0a |
completed | April 29, 2026, 11:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a101bd549648190a2bbc355cf2b1251 |
completed | May 22, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:17 a.m.