Triple
T962581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erwin |
E20767
|
entity |
| Predicate | cognate |
P2527
|
FINISHED |
| Object |
Ervin
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
|
E114594
|
NE FINISHED |
How this triple was built (4 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: Ervin | Statement: [Erwin, cognate, Ervin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ervin Context triple: [Erwin, cognate, Ervin]
-
A.
Newt Geiszler
Newt Geiszler is a quirky, hyper-intelligent kaiju-obsessed scientist and former PPDC researcher in the Pacific Rim film series.
-
B.
Edmund Stoiber
Edmund Stoiber is a German conservative politician who served for many years as Minister-President of Bavaria and became a prominent national figure as the CDU/CSU candidate for chancellor in 2002.
-
C.
Jonathan Corwin
Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
-
D.
Fred McMullin
Fred McMullin was a utility infielder for the Chicago White Sox best known for his role as one of the eight players implicated in the 1919 Black Sox Scandal.
-
E.
Vermont-Slauson
Vermont-Slauson is a predominantly residential and commercial neighborhood in South Los Angeles known for its diverse community and urban character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ervin Triple: [Erwin, cognate, Ervin]
Generated description
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ervin Target entity description: Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
-
A.
Newt Geiszler
Newt Geiszler is a quirky, hyper-intelligent kaiju-obsessed scientist and former PPDC researcher in the Pacific Rim film series.
-
B.
Edmund Stoiber
Edmund Stoiber is a German conservative politician who served for many years as Minister-President of Bavaria and became a prominent national figure as the CDU/CSU candidate for chancellor in 2002.
-
C.
Jonathan Corwin
Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
-
D.
Fred McMullin
Fred McMullin was a utility infielder for the Chicago White Sox best known for his role as one of the eight players implicated in the 1919 Black Sox Scandal.
-
E.
Vermont-Slauson
Vermont-Slauson is a predominantly residential and commercial neighborhood in South Los Angeles known for its diverse community and urban character.
- F. None of above. chosen
Provenance (5 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b415ac688190bbcef455935a3116 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac17034cf48190bca513891cfcc444 |
completed | March 7, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69ac179226dc8190b47d312c78745ada |
completed | March 7, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1844acec81909859605d2421a588 |
completed | March 7, 2026, 12:21 p.m. |
Created at: March 1, 2026, 7:40 p.m.