Triple
T15747934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Fuller |
E381766
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Laramie |
E380278
|
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: Laramie | Statement: [Robert Fuller, notableWork, Laramie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laramie Context triple: [Robert Fuller, notableWork, Laramie]
-
A.
Laramie
chosen
Laramie is a well-equipped, upscale trim level of the Ram 1500 pickup truck known for its added comfort, technology, and premium features.
-
B.
Laramie, Wyoming
Laramie, Wyoming is a city in southeastern Wyoming known as the home of the University of Wyoming and a regional center for education, culture, and outdoor recreation.
-
C.
Cheyenne
Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
-
D.
Cheyenne
The Cheyenne are a Native American people of the Great Plains known for their nomadic horse culture, warrior societies, and significant role in 19th-century U.S. frontier history.
-
E.
Cheyenne
Cheyenne is a Western film written by screenwriter James R. Webb.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502d72008190b4d13a6b3a12e467 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8309cba881909579ee5a62b3aa31 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.