Triple
T10228539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Rutledge |
E243277
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Rutledge |
E243277
|
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: Rutledge | Statement: [David Rutledge, hasFamilyName, Rutledge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rutledge Context triple: [David Rutledge, hasFamilyName, Rutledge]
-
A.
Rutledge
Rutledge is a small town in eastern Tennessee that serves as the county seat of Grainger County within the Knoxville metropolitan area.
-
B.
Rutledge
Rutledge is a small town located in Crenshaw County in the southern part of the U.S. state of Alabama.
-
C.
Rutledge
chosen
Rutledge is a surname of English and Scottish origin borne by various notable individuals in politics, law, and other fields.
-
D.
Talbott
Talbott is an unincorporated community in Hamblen County, Tennessee, known primarily as a residential area near the city of Morristown.
-
E.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fb93688190a9abcbebd9fede6c |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e33a0088190b1cad6ada8beb345 |
completed | April 10, 2026, 4:36 a.m. |
Created at: April 6, 2026, 11:18 a.m.