Triple
T8897759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Ban of Benwick |
E211847
|
entity |
| Predicate | fatherOf |
P120
|
FINISHED |
| Object |
Lionel
Lionel is a knight of the Round Table in Arthurian legend, known as the son of King Ban of Benwick and the cousin of Sir Lancelot.
|
E766078
|
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: Lionel | Statement: [King Ban of Benwick, fatherOf, Lionel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lionel Context triple: [King Ban of Benwick, fatherOf, Lionel]
-
A.
Lionel
Lionel is the given name of Lionel Logue, the Australian speech therapist renowned for helping King George VI overcome his stammer.
-
B.
Lionel
Lionel is the given name of Baron Walter Rothschild, a prominent British banker, politician, and zoologist from the famous Rothschild family.
-
C.
Lionel
Lionel is a masculine given name of Latin origin, commonly used in English- and French-speaking countries.
-
D.
Leo the Lion
Leo the Lion is the iconic roaring lion featured in the opening logo of Metro-Goldwyn-Mayer (MGM) films.
-
E.
Leo the Lion
Leo the Lion is the costumed lion mascot representing Purdue University Northwest’s athletic teams and school spirit.
- 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: Lionel Triple: [King Ban of Benwick, fatherOf, Lionel]
Generated description
Lionel is a knight of the Round Table in Arthurian legend, known as the son of King Ban of Benwick and the cousin of Sir Lancelot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lionel Target entity description: Lionel is a knight of the Round Table in Arthurian legend, known as the son of King Ban of Benwick and the cousin of Sir Lancelot.
-
A.
Lionel
Lionel is the given name of Lionel Logue, the Australian speech therapist renowned for helping King George VI overcome his stammer.
-
B.
Lionel
Lionel is the given name of Baron Walter Rothschild, a prominent British banker, politician, and zoologist from the famous Rothschild family.
-
C.
Lionel
Lionel is a masculine given name of Latin origin, commonly used in English- and French-speaking countries.
-
D.
Leo the Lion
Leo the Lion is the iconic roaring lion featured in the opening logo of Metro-Goldwyn-Mayer (MGM) films.
-
E.
Leo the Lion
Leo the Lion is the costumed lion mascot representing Purdue University Northwest’s athletic teams and school spirit.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6424a8c08190aef2aa2079dd85f1 |
completed | April 1, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba212fd081909ae87853c81e1d30 |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbab0b0048190a0ad002787dddffa |
completed | April 3, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbb4f1f6881908ec9e419d175d044 |
completed | April 3, 2026, 1:06 p.m. |
Created at: March 30, 2026, 6:54 p.m.