Triple
T11876455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Morton |
E282538
|
entity |
| Predicate | coachedFor |
P2169
|
FINISHED |
| Object |
Denver Gold
Denver Gold was a professional American football team that competed in the United States Football League (USFL) during the mid-1980s.
|
E950723
|
NE FINISHED |
How this triple was built (4 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: Denver Gold | Statement: [Craig Morton, coachedFor, Denver Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denver Gold Context triple: [Craig Morton, coachedFor, Denver Gold]
-
A.
Goldfield
Goldfield is a historic mining town in Nevada that rose to prominence during the early 20th-century gold rush.
-
B.
Colorado Mills
Colorado Mills is a large outlet and retail shopping mall located in Lakewood, Colorado, featuring a wide variety of stores, dining options, and entertainment venues.
-
C.
The Nugget
The Nugget is a crossword puzzle created by Australian setter Ken Sallows that became famous for its ingenious hidden message and meta-puzzle structure.
-
D.
Gold Center, Nevada
Gold Center, Nevada was a short-lived early 20th-century mining town in Nye County that developed during the gold rush activity near Beatty.
-
E.
Bonanza, Colorado
Bonanza, Colorado is a tiny former mining town in the Rocky Mountains of south-central Colorado, now largely a historic ghost town.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Denver Gold Triple: [Craig Morton, coachedFor, Denver Gold]
Generated description
Denver Gold was a professional American football team that competed in the United States Football League (USFL) during the mid-1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denver Gold Target entity description: Denver Gold was a professional American football team that competed in the United States Football League (USFL) during the mid-1980s.
-
A.
Goldfield
Goldfield is a historic mining town in Nevada that rose to prominence during the early 20th-century gold rush.
-
B.
Colorado Mills
Colorado Mills is a large outlet and retail shopping mall located in Lakewood, Colorado, featuring a wide variety of stores, dining options, and entertainment venues.
-
C.
The Nugget
The Nugget is a crossword puzzle created by Australian setter Ken Sallows that became famous for its ingenious hidden message and meta-puzzle structure.
-
D.
Gold Center, Nevada
Gold Center, Nevada was a short-lived early 20th-century mining town in Nye County that developed during the gold rush activity near Beatty.
-
E.
Bonanza, Colorado
Bonanza, Colorado is a tiny former mining town in the Rocky Mountains of south-central Colorado, now largely a historic ghost town.
- F. None of above. chosen
Provenance (5 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1b6a5c81909a18c54205dda09c |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281cac9a48190b4b0f4c53b41110f |
completed | April 29, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69f28a9378348190866e38259cc9467e |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28c5f7638819098aa93aa1610ca0a |
completed | April 29, 2026, 10:55 p.m. |
Created at: April 8, 2026, 9:44 p.m.