Triple
T4363547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terence (surname) |
E98716
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object |
Terence (given name)
Terence is a masculine given name of Latin origin, historically associated with the Roman playwright Publius Terentius Afer (Terence).
|
E432827
|
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: Terence (given name) | Statement: [Terence (surname), derivedFrom, Terence (given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terence (given name) Context triple: [Terence (surname), derivedFrom, Terence (given name)]
-
A.
Terentia
Terentia was the first wife of the Roman orator and statesman Cicero, known for her wealth, social influence, and involvement in his political and personal affairs.
-
B.
Titus Ollius
Titus Ollius was a Roman of the early Imperial period, chiefly known as the father of the future empress Poppaea Sabina.
-
C.
Gnaeus
Gnaeus is the praenomen (given name) of the prominent Roman general and statesman Pompey the Great.
-
D.
Lucius
Lucius is a common ancient Roman praenomen (given name) frequently used among Roman men, including emperors such as Commodus.
-
E.
Lucius
Lucius was the birth name of the Roman emperor Nero, who ruled from 54 to 68 CE and is infamous for his tyrannical reign.
- 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: Terence (given name) Triple: [Terence (surname), derivedFrom, Terence (given name)]
Generated description
Terence is a masculine given name of Latin origin, historically associated with the Roman playwright Publius Terentius Afer (Terence).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terence (given name) Target entity description: Terence is a masculine given name of Latin origin, historically associated with the Roman playwright Publius Terentius Afer (Terence).
-
A.
Terentia
Terentia was the first wife of the Roman orator and statesman Cicero, known for her wealth, social influence, and involvement in his political and personal affairs.
-
B.
Titus Ollius
Titus Ollius was a Roman of the early Imperial period, chiefly known as the father of the future empress Poppaea Sabina.
-
C.
Gnaeus
Gnaeus is the praenomen (given name) of the prominent Roman general and statesman Pompey the Great.
-
D.
Lucius
Lucius is a common ancient Roman praenomen (given name) frequently used among Roman men, including emperors such as Commodus.
-
E.
Lucius
Lucius was the birth name of the Roman emperor Nero, who ruled from 54 to 68 CE and is infamous for his tyrannical reign.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e70a748190af6f1b709a0e75e6 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbc925d881909fac944bc7ce5407 |
completed | March 14, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69b5dc578b08819095cbf6ba8470d3e0 |
completed | March 14, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dd1b03508190a47bb6fb93f22ad8 |
completed | March 14, 2026, 10:11 p.m. |
Created at: March 12, 2026, 11:16 p.m.