Triple
T14327689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Joy |
E355254
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | csh |
E701318
|
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: csh | Statement: [Bill Joy, notableWork, csh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: csh Context triple: [Bill Joy, notableWork, csh]
-
A.
C shell
chosen
C shell is a Unix command-line interpreter known for its C-like syntax, interactive features, and scripting capabilities.
-
B.
Tcsh
Tcsh is an enhanced version of the C shell (csh) for Unix-like systems, featuring command-line editing, programmable completion, and other interactive conveniences.
-
C.
KornShell
KornShell is a Unix command-line interpreter and scripting language that extends the Bourne shell with advanced programming features and interactive capabilities.
-
D.
CSH
CSH is an abbreviation commonly used for the College of Science and Health, an academic division focused on scientific and health-related disciplines.
-
E.
CSH
CSH is the ICAO airline designator used to identify Shanghai Airlines in international aviation operations.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1c3e70819084b6728ac5c18561 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c3d20688190973e37ca38b4afe0 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:13 a.m.