Triple
T14898773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Coulter |
E359946
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Coulter |
E747783
|
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: Coulter | Statement: [Ann Coulter, familyName, Coulter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coulter Context triple: [Ann Coulter, familyName, Coulter]
-
A.
Coulter
chosen
Coulter is a surname of English and Scottish origin borne by various notable individuals in fields such as science, politics, and the arts.
-
B.
McGillicutter
The McGillicutter is a professional wrestling finishing maneuver used by WWE wrestler Michael McGillicutty (later known as Curtis Axel).
-
C.
Alberta Cutler
Alberta Cutler is an individual notable enough to be recognized as a prominent bearer of the surname Cutler.
-
D.
Shelby Moore Cullom
Shelby Moore Cullom was an American politician who served as governor of Illinois and later as a long-serving U.S. senator in the late 19th and early 20th centuries.
-
E.
Carmen Colson
Carmen Colson is a U.S. Marshal’s wife who becomes the target of a deadly hitman in Elmore Leonard’s crime novel "Killshot."
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6084574819098033a9723f3e1c4 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b6966e88190a0ed475b22a77cf1 |
completed | May 8, 2026, 11:02 p.m. |
Created at: April 10, 2026, 2:11 a.m.