Triple
T14708029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loras Tyrell |
E345477
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Loras
Loras is a skilled and charismatic knight from House Tyrell in the "A Song of Ice and Fire" novels and the "Game of Thrones" television series.
|
E1115895
|
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: Loras | Statement: [Loras Tyrell, givenName, Loras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loras Context triple: [Loras Tyrell, givenName, Loras]
-
A.
Loras College
Loras College is a private Catholic liberal arts college in Dubuque, Iowa, known for its strong undergraduate programs and long-standing regional presence.
-
B.
Loyola
Loyola is a Spanish Basque noble family name most famously associated with Ignatius of Loyola, the founder of the Society of Jesus (Jesuits).
-
C.
Regis
Regis is an honorific term historically used in English to denote royal association, particularly in place names granted royal patronage.
-
D.
Regis
Regis is an electronic music producer and DJ known for his influential work in the techno and experimental music scenes.
-
E.
Doane
Doane is a surname most notably associated with William Croswell Doane, the first Episcopal Bishop of Albany and a prominent 19th-century American church leader.
- 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: Loras Triple: [Loras Tyrell, givenName, Loras]
Generated description
Loras is a skilled and charismatic knight from House Tyrell in the "A Song of Ice and Fire" novels and the "Game of Thrones" television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loras Target entity description: Loras is a skilled and charismatic knight from House Tyrell in the "A Song of Ice and Fire" novels and the "Game of Thrones" television series.
-
A.
Loras College
Loras College is a private Catholic liberal arts college in Dubuque, Iowa, known for its strong undergraduate programs and long-standing regional presence.
-
B.
Loyola
Loyola is a Spanish Basque noble family name most famously associated with Ignatius of Loyola, the founder of the Society of Jesus (Jesuits).
-
C.
Regis
Regis is an honorific term historically used in English to denote royal association, particularly in place names granted royal patronage.
-
D.
Regis
Regis is an electronic music producer and DJ known for his influential work in the techno and experimental music scenes.
-
E.
Doane
Doane is a surname most notably associated with William Croswell Doane, the first Episcopal Bishop of Albany and a prominent 19th-century American church leader.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb609965081908f654bcb9eaaa145 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08a81948190ab903e5b8bfb0c81 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf396b65c819088e2f350364fbfae |
completed | May 8, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf421390481909cb43aec3ef18d53 |
completed | May 8, 2026, 2:33 p.m. |
Created at: April 10, 2026, 1:28 a.m.