Triple
T20071017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac McAnally |
E499736
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lyman |
—
|
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: Lyman | Statement: [Mac McAnally, givenName, Lyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyman Context triple: [Mac McAnally, givenName, Lyman]
-
A.
Lyman
Lyman is a small town in South Carolina known historically for its textile mill roots and suburban residential character within the Spartanburg metropolitan area.
-
B.
Lyman
Lyman is a small village located in Scotts Bluff County in the western part of the U.S. state of Nebraska.
-
C.
Lyman
chosen
Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
-
D.
Lyman
Lyman is a small town located in Skagit County in the state of Washington, United States.
-
E.
Qualley
Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643798a4819081fa4e71c74b47bc |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.