Triple
T5128023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antony and Cleopatra |
E115629
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Charmian
Charmian is a loyal and witty attendant to Cleopatra in William Shakespeare's tragedy "Antony and Cleopatra."
|
E496758
|
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: Charmian | Statement: [Antony and Cleopatra, mainCharacter, Charmian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charmian Context triple: [Antony and Cleopatra, mainCharacter, Charmian]
-
A.
Thisbe
Thisbe is a tragic heroine from classical mythology, best known from the tale of Pyramus and Thisbe, whose doomed love story inspired later works like Shakespeare’s "Romeo and Juliet."
-
B.
Daphne
Daphne is a nymph from Greek mythology best known for being pursued by Apollo and transformed into a laurel tree to escape him.
-
C.
Daphne
Daphne is an HTTP, HTTP/2, and WebSocket server for ASGI applications, commonly used to serve Django and other Python async web frameworks.
-
D.
Daphne
Daphne is a coastal city in Baldwin County, Alabama, situated along the eastern shore of Mobile Bay.
-
E.
Daphne
"Daphne" is a fast, swinging jazz composition by guitarist Django Reinhardt that has become a recognized standard in the gypsy jazz repertoire.
- 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: Charmian Triple: [Antony and Cleopatra, mainCharacter, Charmian]
Generated description
Charmian is a loyal and witty attendant to Cleopatra in William Shakespeare's tragedy "Antony and Cleopatra."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charmian Target entity description: Charmian is a loyal and witty attendant to Cleopatra in William Shakespeare's tragedy "Antony and Cleopatra."
-
A.
Thisbe
Thisbe is a tragic heroine from classical mythology, best known from the tale of Pyramus and Thisbe, whose doomed love story inspired later works like Shakespeare’s "Romeo and Juliet."
-
B.
Daphne
Daphne is a nymph from Greek mythology best known for being pursued by Apollo and transformed into a laurel tree to escape him.
-
C.
Daphne
Daphne is an HTTP, HTTP/2, and WebSocket server for ASGI applications, commonly used to serve Django and other Python async web frameworks.
-
D.
Daphne
Daphne is a coastal city in Baldwin County, Alabama, situated along the eastern shore of Mobile Bay.
-
E.
Daphne
"Daphne" is a fast, swinging jazz composition by guitarist Django Reinhardt that has become a recognized standard in the gypsy jazz repertoire.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd782428a081909583c7f368226daf |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4beb7b48190a2f4e41a13fdd5f3 |
completed | March 21, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69bec571d5948190b659a7b5038f8bdd |
completed | March 21, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bec973e71c8190a9c043389d627156 |
completed | March 21, 2026, 4:38 p.m. |
Created at: March 20, 2026, 1:42 p.m.