Triple
T18659763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Butler |
E456158
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Big Gamble |
E1158517
|
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 Big Gamble | Statement: [David Butler, notableWork, The Big Gamble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Gamble Context triple: [David Butler, notableWork, The Big Gamble]
-
A.
The Big Gamble
chosen
The Big Gamble is a 1961 adventure-comedy film about two men undertaking a perilous trucking venture in Africa.
-
B.
The Name of the Game
"The Name of the Game" is a 1977 pop song by Swedish group ABBA, known for its melodic complexity and introspective lyrics.
-
C.
The Name of the Game
The Name of the Game is an American television series from the late 1960s and early 1970s that followed the lives of magazine publishing executives through rotating lead characters and storylines.
-
D.
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.
-
E.
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.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e550889580819090ceb0ea4c93acc7 |
completed | April 19, 2026, 10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a051724da8881909e065ba1069ecb6c |
completed | May 14, 2026, 12:28 a.m. |
Created at: April 10, 2026, 11:48 a.m.