Triple
T10582522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moros |
E249770
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Momos
Momos is the Greek personification of blame, mockery, and satire, often depicted as a minor deity who criticizes both gods and humans.
|
E873088
|
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: Momos | Statement: [Moros, sibling, Momos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Momos Context triple: [Moros, sibling, Momos]
-
A.
Maoke Plate
The Maoke Plate is a minor tectonic plate in the region of New Guinea, contributing to the complex and active plate boundary interactions in eastern Indonesia.
-
B.
Ramenki
Ramenki is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Ramenki District of western Moscow, Russia.
-
C.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
D.
Yo! Sushi
Yo! Sushi is a UK-based restaurant chain known for its conveyor-belt served Japanese-inspired dishes, particularly sushi.
-
E.
Makanrushi
Makanrushi is an uninhabited volcanic island in the Kuril Islands chain of the northwest Pacific Ocean, belonging to Russia.
- 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: Momos Triple: [Moros, sibling, Momos]
Generated description
Momos is the Greek personification of blame, mockery, and satire, often depicted as a minor deity who criticizes both gods and humans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Momos Target entity description: Momos is the Greek personification of blame, mockery, and satire, often depicted as a minor deity who criticizes both gods and humans.
-
A.
Maoke Plate
The Maoke Plate is a minor tectonic plate in the region of New Guinea, contributing to the complex and active plate boundary interactions in eastern Indonesia.
-
B.
Ramenki
Ramenki is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Ramenki District of western Moscow, Russia.
-
C.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
D.
Yo! Sushi
Yo! Sushi is a UK-based restaurant chain known for its conveyor-belt served Japanese-inspired dishes, particularly sushi.
-
E.
Makanrushi
Makanrushi is an uninhabited volcanic island in the Kuril Islands chain of the northwest Pacific Ocean, belonging to Russia.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52766d53c8190b51753768ab58c31 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b78ff28819085acf84418d54733 |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94d67e16481908efb939a3e65004c |
completed | April 10, 2026, 7:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d95227a1f48190ab847606a9ae0500 |
completed | April 10, 2026, 7:40 p.m. |
Created at: April 6, 2026, 12:39 p.m.