Triple
T20124413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Riverboat Gamblers |
E490708
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Tim |
—
|
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: Tim | Statement: [The Riverboat Gamblers, hasMember, Tim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Context triple: [The Riverboat Gamblers, hasMember, Tim]
-
A.
Tim
Tim is the first name of American actor, writer, and director Tim Blake Nelson, known for his roles in films like "O Brother, Where Art Thou?" and "The Ballad of Buster Scruggs."
-
B.
Tim
chosen
Tim is a common masculine given name used in many English-speaking countries, often as a short form of Timothy.
-
C.
Tim
Tim is a fictional character portrayed by American actor Matt Bomer.
-
D.
Tim
Tim is a critically acclaimed 1985 studio album by American rock band The Replacements, often regarded as one of their defining releases in alternative rock.
-
E.
Tim
Tim is a fictional character from Robert Silverberg’s science fiction novel "The Book of Skulls," one of the four college students who seek an ancient order promising immortality at a terrible price.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667412b888190b43f7dd1ccdbad01 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.