Triple
T9727072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam O'Steen |
E235640
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Big Fix |
E405771
|
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 Fix | Statement: [Sam O'Steen, notableWork, The Big Fix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Fix Context triple: [Sam O'Steen, notableWork, The Big Fix]
-
A.
The Big Fix
chosen
The Big Fix is a 1947 American crime drama film in which actress Dorothy Patrick played a significant role.
-
B.
The Big Steal
The Big Steal is a 1990 Australian teen crime-comedy film about a young man who schemes to impress a girl by upgrading his car, only to get entangled in a used-car dealer’s dodgy dealings.
-
C.
The Big Ticket
The Big Ticket is the famous nickname of NBA Hall of Famer Kevin Garnett, known for his intense competitiveness and all-around dominance on the basketball court.
-
D.
The Big Nowhere
The Big Nowhere is a dark, complex crime novel by James Ellroy set in 1950s Los Angeles, blending police procedural, political conspiracy, and noir elements.
-
E.
The Big Story
The Big Story is a 1949 American film noir crime drama best known for starring actor John Dall.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7af544819090a8a1adec41943c |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fb208a48190864f8f085da83db7 |
completed | April 4, 2026, 11:33 p.m. |
Created at: March 30, 2026, 8:21 p.m.