Triple
T6705273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David S. Field |
E152987
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | The Longshot |
E21065
|
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: The Longshot | Statement: [David S. Field, memberOf, The Longshot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Longshot Context triple: [David S. Field, memberOf, The Longshot]
-
A.
The Longshot
chosen
The Longshot is a punk rock side project fronted by Green Day’s Billie Joe Armstrong, known for its raw, garage-influenced sound.
-
B.
Long Shot
Long Shot was a 1965 underground nuclear test conducted by the United States on Amchitka Island in Alaska as part of its Cold War weapons testing program.
-
C.
The Big Shot
"The Big Shot" is a 1942 American crime film noir starring Humphrey Bogart as a three-time loser drawn into one last ill-fated heist.
-
D.
Le Tote
Le Tote is a fashion rental subscription service company that expanded into traditional retail by acquiring the historic department store chain Lord & Taylor.
-
E.
The Lucky Chance
The Lucky Chance is a Restoration comedy play by Aphra Behn that satirizes marriage, gender roles, and sexual politics in late 17th-century England.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0ea8cfc819081affc73603c2cf3 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70088916881908dda568d3116216f |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:06 p.m.