Triple
T33495650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jameson Hall |
E857855
|
entity |
| Predicate | previousOfficialNameOf |
P62748
|
FINISHED |
| Object | Sarah Baartman Hall |
—
|
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: Sarah Baartman Hall | Statement: [Jameson Hall, previousOfficialNameOf, Sarah Baartman Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousOfficialNameOf Context triple: [Jameson Hall, previousOfficialNameOf, Sarah Baartman Hall]
-
A.
formerOfficialNameOf
chosen
Indicates that one entity was previously the official name of another entity before a renaming or reclassification.
-
B.
currentOfficialNameSince
Indicates the date or time from which an entity has borne its current official name.
-
C.
formerName
Indicates that an entity was previously known by a different name in the past.
-
D.
officialNameSince
Indicates the date or point in time from which a particular official name has been in effect for an entity.
-
E.
laterOfficialName
Indicates that an entity was known by one name at an earlier time and was officially renamed to a different name at a later time.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: May 1, 2026, 1:38 a.m.