Triple
T10916010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Mercer |
E257823
|
entity |
| Predicate | hasEthnicCulture |
P27835
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Jesse Mercer, hasEthnicCulture, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicCulture Context triple: [Jesse Mercer, hasEthnicCulture, American]
-
A.
hasEthnicInfluence
Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
-
B.
hasEthnicCharacteristic
chosen
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
C.
hasEthnolinguisticContext
Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
-
D.
hasAssociatedCulture
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
-
E.
hasEthnicDivision
Indicates that a group, region, or entity is characterized by internal divisions or distinctions based on ethnicity.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707deb608190903b1066e19600d3 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.