Triple
T3753209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Engel |
E81380
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Engel
Engel is a German-origin surname borne by numerous notable individuals across fields such as science, politics, and the arts.
|
E385482
|
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: Engel | Statement: [George Engel, familyName, Engel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engel Context triple: [George Engel, familyName, Engel]
-
A.
Eitel
Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
-
B.
Erich
Erich is a masculine given name of German origin, commonly used in German-speaking countries and beyond.
-
C.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
D.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- 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: Engel Triple: [George Engel, familyName, Engel]
Generated description
Engel is a German-origin surname borne by numerous notable individuals across fields such as science, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Engel Target entity description: Engel is a German-origin surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
A.
Eitel
Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
-
B.
Erich
Erich is a masculine given name of German origin, commonly used in German-speaking countries and beyond.
-
C.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
D.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb9340e0819083215989718b4598 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5044f3c8190969828966b37e729 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e587f8588190bf3a1c744433619b |
completed | March 14, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e61dc8bc81909b683e54cd4ca2f6 |
completed | March 14, 2026, 4:37 a.m. |
Created at: March 8, 2026, 3:35 p.m.