Triple
T5266647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Measure for Measure |
E118952
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Angelo |
E34007
|
NE FINISHED |
How this triple was built (2 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: Angelo | Statement: [Measure for Measure, mainCharacter, Angelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angelo Context triple: [Measure for Measure, mainCharacter, Angelo]
-
A.
Angelo
chosen
Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
-
B.
Maschio Angioino
Maschio Angioino is a historic medieval and Renaissance fortress in Naples, Italy, renowned as a former royal residence and one of the city’s most iconic landmarks.
-
C.
Montardo
Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
-
D.
Nicolangelo Carnimeo
Nicolangelo Carnimeo was an Italian military officer best known for commanding Italian forces during the World War II Battle of Keren in East Africa.
-
E.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bfabf9c819098f961243c31e508 |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe8e5c948190a807a99bd35f710d |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.