Triple
T13770090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publius Memmius Regulus |
E330857
|
entity |
| Predicate | nobleFamily |
P914
|
FINISHED |
| Object |
Memmii
The Memmii were an ancient Roman plebeian family whose members held various political and military offices during the Republic and early Empire.
|
E1059940
|
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: Memmii | Statement: [Publius Memmius Regulus, nobleFamily, Memmii]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memmii Context triple: [Publius Memmius Regulus, nobleFamily, Memmii]
-
A.
Mumei
Mumei is a central character known for her mysterious, emissary-like role within the narrative of *The Emissary*.
-
B.
Mehmo
Mehmo is a diminutive or affectionate nickname derived from the Turkish given name Mehmet.
-
C.
Mayem
Mayem is a legislative assembly constituency located in the North Goa district of the Indian state of Goa.
-
D.
Mehinako
Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
-
E.
Bibemi
Bibemi is a town located in the North Region of Cameroon, known as a local administrative and trading center in the area.
- 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: Memmii Triple: [Publius Memmius Regulus, nobleFamily, Memmii]
Generated description
The Memmii were an ancient Roman plebeian family whose members held various political and military offices during the Republic and early Empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Memmii Target entity description: The Memmii were an ancient Roman plebeian family whose members held various political and military offices during the Republic and early Empire.
-
A.
Mumei
Mumei is a central character known for her mysterious, emissary-like role within the narrative of *The Emissary*.
-
B.
Mehmo
Mehmo is a diminutive or affectionate nickname derived from the Turkish given name Mehmet.
-
C.
Mayem
Mayem is a legislative assembly constituency located in the North Goa district of the Indian state of Goa.
-
D.
Mehinako
Mehinako are an Indigenous people of the Upper Xingu region in Brazil, known for their distinct language, rich ritual traditions, and communal village life in the Amazon.
-
E.
Bibemi
Bibemi is a town located in the North Region of Cameroon, known as a local administrative and trading center in the area.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a866e7cc8190a0381f4469193b6e |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a9f5549c81908a1a0b080acc3396 |
completed | May 3, 2026, 8:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aafceea881908737a3d7613db2d5 |
completed | May 3, 2026, 8:07 p.m. |
Created at: April 9, 2026, 10:10 p.m.