Triple
T18738185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Cunningham |
E458219
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Boomtown |
—
|
NE NERFINISHED |
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: Boomtown | Statement: [Alexandra Cunningham, notableWork, Boomtown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boomtown Context triple: [Alexandra Cunningham, notableWork, Boomtown]
-
A.
Boomtown
chosen
Boomtown is an American television crime drama series that presents interconnected stories from multiple characters' perspectives.
-
B.
Boomtown
"Boomtown" is a song featured on the bluegrass album "Tell the Ones I Love" by the Steep Canyon Rangers.
-
C.
Boomtown
Boomtown is a critically acclaimed 1986 debut album by American singer-songwriter David Baerwald, known for its dark, literate take on life in Reagan-era Los Angeles.
-
D.
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.
-
E.
Boom Town
"Boom Town" is a 2005 episode of the British science fiction television series Doctor Who, featuring the Ninth Doctor confronting a surviving Slitheen in modern-day Cardiff.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.