Triple
T7355024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trouble Man |
E169600
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Chalky |
E447678
|
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: Chalky | Statement: [Trouble Man, character, Chalky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chalky Context triple: [Trouble Man, character, Chalky]
-
A.
Chalky White
chosen
Chalky White is a powerful African-American bootlegger and leader of the Black community in Atlantic City in the television series "Boardwalk Empire."
-
B.
White Chalk
White Chalk is a hauntingly sparse 2007 album by English singer-songwriter PJ Harvey, noted for its piano-driven arrangements and ethereal, gothic atmosphere.
-
C.
Soft as Chalk
"Soft as Chalk" is a song by singer-songwriter Joanna Newsom from her 2010 album *Have One on Me*, noted for its intricate lyrics and distinctive vocal delivery.
-
D.
Chalk
Chalk is a pale, off-white color option commonly used for consumer electronics and home devices to provide a neutral, minimalist appearance.
-
E.
Challex
Challex is a small commune in eastern France’s Ain department, near the Swiss border in the Auvergne-Rhône-Alpes region.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10e71fc81909307ca39a61142d3 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faa25960819084ecb6dbf9369ba5 |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:05 p.m.