Triple
T22068251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EG&G |
E545335
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Edgerton |
E674609
|
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: Edgerton | Statement: [EG&G, namedAfter, Edgerton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgerton Context triple: [EG&G, namedAfter, Edgerton]
-
A.
Edgerton
chosen
Edgerton is a surname and place name of English origin that appears in various towns, communities, and geographic locations, particularly in the United States and the United Kingdom.
-
B.
Nordhoff
Nordhoff is a surname most notably associated with American author and journalist Charles Nordhoff.
-
C.
Holwood
Holwood is a historic country estate in Kent, England, best known as the former residence of British Prime Minister William Pitt the Younger.
-
D.
Oreston
Oreston is a suburban district of Plymouth in Devon, England, known for its riverside location and maritime character.
-
E.
Linwood
Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12885fe04819092cdde142f91e147 |
completed | April 28, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80b1a6dc8190a47e0988981f09ef |
completed | May 18, 2026, 3 a.m. |
Created at: April 16, 2026, 8:27 p.m.