Triple
T22769837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interlisp |
E563523
|
entity |
| Predicate | operatingSystem |
P1593
|
FINISHED |
| Object | TENEX |
—
|
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: TENEX | Statement: [Interlisp, operatingSystem, TENEX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TENEX Context triple: [Interlisp, operatingSystem, TENEX]
-
A.
TENEX
TENEX is a Russian nuclear fuel cycle company that specializes in uranium enrichment services and nuclear fuel supply for power plants worldwide.
-
B.
TENEX operating system
chosen
TENEX operating system is an early time-sharing operating system for the PDP-10 that introduced advanced virtual memory and interactive computing features influential in later systems.
-
C.
Tensta
Tensta is a suburban district in northwestern Stockholm, Sweden, known for its large immigrant population and modernist housing estates built during the Million Programme era.
-
D.
Teclo
Teclo is a song by PJ Harvey from her critically acclaimed 1995 album "To Bring You My Love."
-
E.
Ten Ten
"Ten Ten" is a popular Nigerian Afrobeats song performed by the Mo' Hits All Stars collective.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b5cea44819097290351da9c488d |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.