Triple
T3422412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boom Town |
E72143
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Boom Town |
E72143
|
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: Boom Town | Statement: [Boom Town, title, Boom Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boom Town Context triple: [Boom Town, title, Boom Town]
-
A.
Boom Town
chosen
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.
Boomtown
Boomtown is an American television crime drama series that presents interconnected stories from multiple characters' perspectives.
-
C.
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.
-
D.
B-Town
B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
-
E.
Rocket City
Rocket City is the nickname for Huntsville, Alabama, a city renowned for its pivotal role in U.S. space exploration and rocket development.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb95223e081908b2954769d2f46c8 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35472881c8190baf90b91daa924ec |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.