Triple
T1521998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Logo |
E32248
|
entity |
| Predicate | discusses |
P450
|
FINISHED |
| Object | Shell |
E111738
|
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: Shell | Statement: [No Logo, discusses, Shell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shell Context triple: [No Logo, discusses, Shell]
-
A.
Shell
chosen
Shell is a major global oil and gas company headquartered in the Netherlands and the United Kingdom, known for its extensive energy production, refining, and retail operations.
-
B.
Unix shell
A Unix shell is a command-line interpreter and scripting environment used on Unix and Unix-like systems to execute commands, run programs, and automate tasks.
-
C.
Terminal
Terminal is the built-in command-line interface application for macOS that allows users to interact with the operating system using text-based commands.
-
D.
Unix
Unix is a powerful, multiuser, multitasking operating system originally developed in the 1970s that has profoundly influenced modern computing and inspired many derivative systems like Linux and macOS.
-
E.
Terminal C
Terminal C is a major passenger terminal at Newark Liberty International Airport, primarily serving United Airlines and offering extensive domestic and international flight 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907fe8b0c8190a765afd3a10ee5e0 |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad294f9e2481909f1d685d7f083c6a |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:26 p.m.