Triple
T5545136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witsell |
E145387
|
entity |
| Predicate | hasNameInCaseTitle |
P31561
|
FINISHED |
| Object | Witsell |
E145387
|
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: Witsell | Statement: [Witsell, hasNameInCaseTitle, Witsell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Witsell Context triple: [Witsell, hasNameInCaseTitle, Witsell]
-
A.
Witsell
chosen
Witsell is a party involved in the U.S. Supreme Court case Toomer v. Witsell, which addressed constitutional limits on state regulation of commercial fishing by nonresidents.
-
B.
Southworth
Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
-
C.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
D.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
E.
Hoyt
Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fcc75448190a4c47ded65591345 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059e39b7c81908c5eb3e940366562 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:35 p.m.