Triple
T19727960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio and Mellida |
E473775
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mellida
Mellida is a central character in John Marston’s late-Elizabethan play "Antonio and Mellida," known for her role in the tragicomic love story that drives the drama.
|
E1392914
|
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: Mellida | Statement: [Antonio and Mellida, mainCharacter, Mellida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mellida Context triple: [Antonio and Mellida, mainCharacter, Mellida]
-
A.
Savena
Savena is a river in northern Italy that flows through the Emilia-Romagna region, including the area near Bologna.
-
B.
Saraghina
Saraghina is a memorable, sensual character from Federico Fellini’s film "8½," embodying the protagonist’s early, taboo experiences with desire and womanhood.
-
C.
Masuleh
Masuleh is a historic stepped village in northern Iran renowned for its terraced architecture built into the mountainside and its scenic foggy landscapes.
-
D.
Meziella
Meziella is a small, lesser-known genus of flowering plants within the water milfoil family Haloragaceae.
-
E.
Mellé
Mellé is a French surname most notably borne by Gil Mellé, an American jazz musician and film and television composer.
- 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: Mellida Triple: [Antonio and Mellida, mainCharacter, Mellida]
Generated description
Mellida is a central character in John Marston’s late-Elizabethan play "Antonio and Mellida," known for her role in the tragicomic love story that drives the drama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mellida Target entity description: Mellida is a central character in John Marston’s late-Elizabethan play "Antonio and Mellida," known for her role in the tragicomic love story that drives the drama.
-
A.
Savena
Savena is a river in northern Italy that flows through the Emilia-Romagna region, including the area near Bologna.
-
B.
Saraghina
Saraghina is a memorable, sensual character from Federico Fellini’s film "8½," embodying the protagonist’s early, taboo experiences with desire and womanhood.
-
C.
Masuleh
Masuleh is a historic stepped village in northern Iran renowned for its terraced architecture built into the mountainside and its scenic foggy landscapes.
-
D.
Meziella
Meziella is a small, lesser-known genus of flowering plants within the water milfoil family Haloragaceae.
-
E.
Mellé
Mellé is a French surname most notably borne by Gil Mellé, an American jazz musician and film and television composer.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fa1bc481908a9e7cf4fc52f75c |
completed | April 20, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4f0728881909ccadf9e738e371c |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b5e9961881908f224154ec12c366 |
completed | May 16, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b67964b481909af269c6b5db6527 |
completed | May 16, 2026, 12:12 a.m. |
Created at: April 10, 2026, 1:47 p.m.