Triple
T1751903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mykelti Williamson |
E38461
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Boomtown
Boomtown is an American television crime drama series that presents interconnected stories from multiple characters' perspectives.
|
E196520
|
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: Boomtown | Statement: [Mykelti Williamson, appearedIn, Boomtown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boomtown Context triple: [Mykelti Williamson, appearedIn, Boomtown]
-
A.
Boom Town
Boom Town is a 1940 American drama film about rival wildcat oil drillers, starring Clark Gable alongside Spencer Tracy, Claudette Colbert, and Hedy Lamarr.
-
B.
Mob Town
Mob Town is a historic nickname for the city of Baltimore, reflecting its long-standing reputation for civil unrest and rowdy public gatherings in the 19th century.
-
C.
Cowtown
Cowtown is a popular nickname for Calgary, a major Canadian city known for its historic cattle industry and annual Calgary Stampede.
-
D.
Stone City
Stone City is an ancient walled city and historic fortification area that forms part of the old core of Nanjing, China.
-
E.
City of Sunshine
City of Sunshine is the popular nickname of Szeged, a major city in southern Hungary renowned for its exceptionally sunny climate.
- 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: Boomtown Triple: [Mykelti Williamson, appearedIn, Boomtown]
Generated description
Boomtown is an American television crime drama series that presents interconnected stories from multiple characters' perspectives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boomtown Target entity description: Boomtown is an American television crime drama series that presents interconnected stories from multiple characters' perspectives.
-
A.
Boom Town
Boom Town is a 1940 American drama film about rival wildcat oil drillers, starring Clark Gable alongside Spencer Tracy, Claudette Colbert, and Hedy Lamarr.
-
B.
Mob Town
Mob Town is a historic nickname for the city of Baltimore, reflecting its long-standing reputation for civil unrest and rowdy public gatherings in the 19th century.
-
C.
Cowtown
Cowtown is a popular nickname for Calgary, a major Canadian city known for its historic cattle industry and annual Calgary Stampede.
-
D.
Stone City
Stone City is an ancient walled city and historic fortification area that forms part of the old core of Nanjing, China.
-
E.
City of Sunshine
City of Sunshine is the popular nickname of Szeged, a major city in southern Hungary renowned for its exceptionally sunny climate.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6411cc788190a052b029dbffa7ca |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e625c48190a0fbda31010bdc5f |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1e13d408190b393c00c331125a2 |
completed | March 8, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada292a34c8190a566c2909342ab27 |
completed | March 8, 2026, 4:23 p.m. |
Created at: March 4, 2026, 7:31 p.m.