Triple
T12900324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emacs family of editors |
E308594
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | TECO |
E308589
|
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: TECO | Statement: [Emacs family of editors, influencedBy, TECO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TECO Context triple: [Emacs family of editors, influencedBy, TECO]
-
A.
TECO
chosen
TECO is an early, powerful but notoriously cryptic text editor and programming language that originated on DEC systems and later served as the foundation for TECO Emacs.
-
B.
DTE
DTE is the stock ticker symbol for Deutsche Telekom AG, a major German telecommunications company listed on the Frankfurt Stock Exchange.
-
C.
Xcel
Xcel is a music producer known for contributing to the sound of Big Sean’s debut studio album "Finally Famous."
-
D.
G&E
G&E is the international used vehicle registration code that was assigned to the former British colony of the Gilbert and Ellice Islands in the Pacific.
-
E.
E-CO Energi
E-CO Energi is a Norwegian energy company primarily involved in the production and distribution of hydroelectric power.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97180ee708190b60a3e58c42f764f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af59f3cc81908c99bcde43e724e6 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:40 p.m.