Triple
T11928002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didius Julianus |
E283832
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Didia Clara
Didia Clara was the daughter of the Roman emperor Didius Julianus and briefly held the status of an imperial princess during her father's short reign in 193 AD.
|
E955496
|
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: Didia Clara | Statement: [Didius Julianus, child, Didia Clara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Didia Clara Context triple: [Didius Julianus, child, Didia Clara]
-
A.
Consuelo
Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
-
B.
María
"María" is a film featuring actress Taryn Power in a significant role.
-
C.
María
María is a feminine given name of Hebrew origin, widely used in Spanish-speaking countries and associated with numerous historical and religious figures.
-
D.
María
"María" is a 1995 Latin pop hit by Puerto Rican singer Ricky Martin that became one of his signature international breakthrough songs.
-
E.
María
María is a key character in Ernest Hemingway's novel "For Whom the Bell Tolls," known as a young Spanish woman and love interest of the protagonist amid the Spanish Civil War.
- 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: Didia Clara Triple: [Didius Julianus, child, Didia Clara]
Generated description
Didia Clara was the daughter of the Roman emperor Didius Julianus and briefly held the status of an imperial princess during her father's short reign in 193 AD.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Didia Clara Target entity description: Didia Clara was the daughter of the Roman emperor Didius Julianus and briefly held the status of an imperial princess during her father's short reign in 193 AD.
-
A.
Consuelo
Consuelo is a feminine given name of Spanish origin, historically associated with figures such as American socialite Consuelo Vanderbilt.
-
B.
María
"María" is a 1995 Latin pop hit by Puerto Rican singer Ricky Martin that became one of his signature international breakthrough songs.
-
C.
María
María is a key character in Ernest Hemingway's novel "For Whom the Bell Tolls," known as a young Spanish woman and love interest of the protagonist amid the Spanish Civil War.
-
D.
María
"María" is a film featuring actress Taryn Power in a significant role.
-
E.
María
María is a feminine given name of Hebrew origin, widely used in Spanish-speaking countries and associated with numerous historical and religious figures.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440611e648190b2c47b43f02d2e4b |
completed | May 1, 2026, 5:55 a.m. |
| NEDg | Description generation | batch_69f448fb898081908a8ffd0da703c0f9 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44b9e662881908549e041f6a05e38 |
completed | May 1, 2026, 6:43 a.m. |
Created at: April 8, 2026, 9:45 p.m.