Triple
T4268359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heman Marion Sweatt |
E96879
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Heman |
E426087
|
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: Heman | Statement: [Heman Marion Sweatt, givenName, Heman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heman Context triple: [Heman Marion Sweatt, givenName, Heman]
-
A.
Heman
chosen
Heman is a masculine given name most notably borne by Heman Marion Sweatt, the civil rights figure at the center of the landmark U.S. Supreme Court case Sweatt v. Painter.
-
B.
Hillegas
Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
-
C.
Rohan
Rohan is a prominent kingdom of horse-lords in J.R.R. Tolkien’s Middle-earth, renowned for its vast grasslands and skilled cavalry.
-
D.
Seeman
Seeman is an Indian Tamil film director, actor, and prominent political leader who heads the Naam Tamilar Katchi party in Tamil Nadu.
-
E.
Dedan
Dedan is a biblical figure mentioned in the Hebrew Bible as a descendant of Abraham through Keturah and associated with an Arabian tribe or region known for trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ff913608190b6ccf4a85057b07b |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c71c9b488190abbca16d3ea70ae8 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:07 p.m.