Triple
T33193025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Galveston Giant |
E849663
|
entity |
| Predicate | hasEthnicityOfBearer |
P78013
|
FINISHED |
| Object | African 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: African American | Statement: [The Galveston Giant, hasEthnicityOfBearer, African American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicityOfBearer Context triple: [The Galveston Giant, hasEthnicityOfBearer, African American]
-
A.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
B.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
C.
associatedEthnicityOfBearer
chosen
Indicates the ethnic group or ethnicity with which the bearer of something (such as a name, title, or item) is associated.
-
D.
hasEthnicOrRegionalOrigin
Indicates that an entity originates from, or is associated with, a particular ethnic group or geographic region.
-
E.
hasRulerEthnicity
Indicates that a ruler possesses or is associated with a specific 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 1, 2026, 1:29 a.m.