Triple
T12910070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John II Komnenos |
E308833
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object |
the Good
The Good is the honorific epithet of Byzantine emperor John II Komnenos, reflecting his reputation for piety, justice, and capable rule.
|
E1009199
|
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: the Good | Statement: [John II Komnenos, epithet, the Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Good Context triple: [John II Komnenos, epithet, the Good]
-
A.
On the Good
"On the Good" is a lost philosophical treatise by the Middle Platonist Numenius of Apamea that explored the nature of the supreme Good and significantly influenced later Neoplatonic thought.
-
B.
Gutes
The Gutes were the North Germanic inhabitants of the Baltic island of Gotland, known for their distinct Gutnish language and extensive Viking Age trade networks.
-
C.
Good and Evil
Good and Evil is a philosophical work by Martin Buber that explores the nature of morality, human freedom, and the ethical dimensions of good and evil in human relationships.
-
D.
Good and Evil
"Good and Evil" is a song by Japanese singer Rei Momo.
-
E.
Be Good
"Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
- 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: the Good Triple: [John II Komnenos, epithet, the Good]
Generated description
The Good is the honorific epithet of Byzantine emperor John II Komnenos, reflecting his reputation for piety, justice, and capable rule.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: the Good Target entity description: The Good is the honorific epithet of Byzantine emperor John II Komnenos, reflecting his reputation for piety, justice, and capable rule.
-
A.
On the Good
"On the Good" is a lost philosophical treatise by the Middle Platonist Numenius of Apamea that explored the nature of the supreme Good and significantly influenced later Neoplatonic thought.
-
B.
Gutes
The Gutes were the North Germanic inhabitants of the Baltic island of Gotland, known for their distinct Gutnish language and extensive Viking Age trade networks.
-
C.
Good and Evil
Good and Evil is a philosophical work by Martin Buber that explores the nature of morality, human freedom, and the ethical dimensions of good and evil in human relationships.
-
D.
Good and Evil
"Good and Evil" is a song by Japanese singer Rei Momo.
-
E.
Be Good
"Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719e584c81909be1ac1366effca0 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5680d748190b8453793219bda8f |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a6f6b3348190b50560e747f78d62 |
completed | May 3, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a7c12ef8819095d2418d9999926a |
completed | May 3, 2026, 1:41 a.m. |
Created at: April 9, 2026, 5:41 p.m.