Triple
T6866356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Nast |
E158411
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nast
Nast is a German surname most famously associated with 19th-century political cartoonist Thomas Nast, whose work helped define modern American political iconography.
|
E625592
|
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: Nast | Statement: [Thomas Nast, familyName, Nast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nast Context triple: [Thomas Nast, familyName, Nast]
-
A.
Naast
Naast is a village in the Walloon region of Belgium that forms part of the municipality of Soignies in the province of Hainaut.
-
B.
Nastik
Nastik is a Hindi-language Indian film best known as a notable work of actor-filmmaker I. S. Johar.
-
C.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
D.
Naristi
The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
-
E.
Nadaw
Nadaw is a traditional month in the Burmese calendar associated with religious observances, festivals, and cultural activities in Myanmar.
- 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: Nast Triple: [Thomas Nast, familyName, Nast]
Generated description
Nast is a German surname most famously associated with 19th-century political cartoonist Thomas Nast, whose work helped define modern American political iconography.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nast Target entity description: Nast is a German surname most famously associated with 19th-century political cartoonist Thomas Nast, whose work helped define modern American political iconography.
-
A.
Naast
Naast is a village in the Walloon region of Belgium that forms part of the municipality of Soignies in the province of Hainaut.
-
B.
Nastik
Nastik is a Hindi-language Indian film best known as a notable work of actor-filmmaker I. S. Johar.
-
C.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
D.
Naristi
The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
-
E.
Nadaw
Nadaw is a traditional month in the Burmese calendar associated with religious observances, festivals, and cultural activities in Myanmar.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a5ef848190b6b9a11a3fbdb384 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7428b2fe88190ac1798922e2b9620 |
completed | March 28, 2026, 2:52 a.m. |
| NEDg | Description generation | batch_69c7437978b48190a9c79761c15355cd |
completed | March 28, 2026, 2:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c743f4c6fc8190b8a39fdfe7a796ea |
completed | March 28, 2026, 2:59 a.m. |
Created at: March 27, 2026, 2:21 p.m.