Triple
T2695572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troilus and Criseyde |
E58502
|
entity |
| Predicate | containsCharacter |
P5716
|
FINISHED |
| Object |
Diomede
Diomede is a Greek warrior in medieval retellings of the Trojan War, notably portrayed as a rival lover to Troilus for Criseyde’s affections.
|
E290440
|
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: Diomede | Statement: [Troilus and Criseyde, containsCharacter, Diomede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diomede Context triple: [Troilus and Criseyde, containsCharacter, Diomede]
-
A.
Hera Lacinia
Hera Lacinia is an epithet and cult title of the Greek goddess Hera, particularly venerated at a major sanctuary near the ancient city of Croton in Magna Graecia.
-
B.
Peris
Peris is a surname and given name found in various cultures, often considered a variant of the name Peres.
-
C.
Navigo
Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
-
D.
Theodosia
Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
-
E.
CASSIOPE
CASSIOPE is a Canadian multi-purpose satellite that combines scientific research of Earth’s upper atmosphere with a commercial communications payload.
- 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: Diomede Triple: [Troilus and Criseyde, containsCharacter, Diomede]
Generated description
Diomede is a Greek warrior in medieval retellings of the Trojan War, notably portrayed as a rival lover to Troilus for Criseyde’s affections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diomede Target entity description: Diomede is a Greek warrior in medieval retellings of the Trojan War, notably portrayed as a rival lover to Troilus for Criseyde’s affections.
-
A.
Hera Lacinia
Hera Lacinia is an epithet and cult title of the Greek goddess Hera, particularly venerated at a major sanctuary near the ancient city of Croton in Magna Graecia.
-
B.
Peris
Peris is a surname and given name found in various cultures, often considered a variant of the name Peres.
-
C.
Navigo
Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
-
D.
Theodosia
Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
-
E.
CASSIOPE
CASSIOPE is a Canadian multi-purpose satellite that combines scientific research of Earth’s upper atmosphere with a commercial communications payload.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf6aa78c8190b57be36042008361 |
completed | March 10, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69afb01b48508190a9b668a7273ad422 |
completed | March 10, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb09133788190862d4b24d77facc0 |
completed | March 10, 2026, 5:48 a.m. |
Created at: March 6, 2026, 9:55 p.m.