Triple
T15232749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euron Greyjoy |
E364045
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Euron
Euron is a ruthless and enigmatic Ironborn lord from the "A Song of Ice and Fire" series, known for his ambition, cruelty, and dabbling in dark magic.
|
E1144424
|
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: Euron | Statement: [Euron Greyjoy, givenName, Euron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euron Context triple: [Euron Greyjoy, givenName, Euron]
-
A.
Eura
Eura is a municipality in southwestern Finland known for its rich archaeological heritage and prehistoric sites.
-
B.
Oea
Oea was an important ancient city in North Africa, located on the site of modern-day Tripoli in present-day Libya.
-
C.
Ille
Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
-
D.
Europos
Europos was an ancient Macedonian town traditionally identified as the birthplace of the Seleucid Empire’s founder, Seleucus I Nicator.
-
E.
Europos
Europos is an ancient city historically known as Rayy (or Rey), located near modern-day Tehran in Iran and recognized as one of the oldest continuously inhabited settlements in the region.
- 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: Euron Triple: [Euron Greyjoy, givenName, Euron]
Generated description
Euron is a ruthless and enigmatic Ironborn lord from the "A Song of Ice and Fire" series, known for his ambition, cruelty, and dabbling in dark magic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Euron Target entity description: Euron is a ruthless and enigmatic Ironborn lord from the "A Song of Ice and Fire" series, known for his ambition, cruelty, and dabbling in dark magic.
-
A.
Eura
Eura is a municipality in southwestern Finland known for its rich archaeological heritage and prehistoric sites.
-
B.
Oea
Oea was an important ancient city in North Africa, located on the site of modern-day Tripoli in present-day Libya.
-
C.
Ille
Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
-
D.
Europos
Europos was an ancient Macedonian town traditionally identified as the birthplace of the Seleucid Empire’s founder, Seleucus I Nicator.
-
E.
Europos
Europos is an ancient city historically known as Rayy (or Rey), located near modern-day Tehran in Iran and recognized as one of the oldest continuously inhabited settlements in the region.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3beae88190a91af2c9a7def8f8 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fede3ef86481908b21bb8c43e490a0 |
completed | May 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedec501408190831c1cfa38c0db15 |
completed | May 9, 2026, 7:14 a.m. |
Created at: April 10, 2026, 3:12 a.m.