Triple
T3064999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mona Simpson |
E62082
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mona
Mona is a feminine given name used in various cultures, often as a standalone name or a diminutive of names like Ramona or Simona.
|
E323562
|
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: Mona | Statement: [Mona Simpson, givenName, Mona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mona Context triple: [Mona Simpson, givenName, Mona]
-
A.
MONA
MONA is a renowned private art museum in Hobart, Tasmania, known for its provocative contemporary and ancient art collections and unconventional, immersive visitor experience.
-
B.
Pauletta
Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
-
C.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
D.
Mylasa
Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
-
E.
Tihamah
Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
- 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: Mona Triple: [Mona Simpson, givenName, Mona]
Generated description
Mona is a feminine given name used in various cultures, often as a standalone name or a diminutive of names like Ramona or Simona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mona Target entity description: Mona is a feminine given name used in various cultures, often as a standalone name or a diminutive of names like Ramona or Simona.
-
A.
MONA
MONA is a renowned private art museum in Hobart, Tasmania, known for its provocative contemporary and ancient art collections and unconventional, immersive visitor experience.
-
B.
Pauletta
Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
-
C.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
D.
Mylasa
Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
-
E.
Amonute
Amonute is one of the lesser-known names of Pocahontas, the Native American woman famous for her association with the early English colonial settlement at Jamestown, Virginia.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fc01dc81908fbdf7c1ef73afe4 |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef1402108190a2d24e7eb523f658 |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1f2f3d120819090d28e0353d3d8da |
completed | March 11, 2026, 10:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f365a4988190ae3ea6370a27ee72 |
completed | March 11, 2026, 10:57 p.m. |
Created at: March 8, 2026, 3:02 p.m.