Triple
T10165087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Suppliants |
E235185
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object |
Hiketidai
Hiketidai is the ancient Greek title of Aeschylus’s tragedy commonly known in English as "The Suppliants."
|
E845691
|
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: Hiketidai | Statement: [The Suppliants, originalTitle, Hiketidai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiketidai Context triple: [The Suppliants, originalTitle, Hiketidai]
-
A.
Hieda
Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
-
B.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
C.
Hikianalia
Hikianalia is a modern Polynesian voyaging canoe that combines traditional navigation with contemporary technology for educational and cultural expeditions across the Pacific.
-
D.
Hakitia
Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
-
E.
Hekinan
Hekinan is a coastal industrial city in central Japan known for its manufacturing sector and location along Mikawa Bay in Aichi Prefecture.
- 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: Hiketidai Triple: [The Suppliants, originalTitle, Hiketidai]
Generated description
Hiketidai is the ancient Greek title of Aeschylus’s tragedy commonly known in English as "The Suppliants."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hiketidai Target entity description: Hiketidai is the ancient Greek title of Aeschylus’s tragedy commonly known in English as "The Suppliants."
-
A.
Hieda
Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
-
B.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
C.
Hikianalia
Hikianalia is a modern Polynesian voyaging canoe that combines traditional navigation with contemporary technology for educational and cultural expeditions across the Pacific.
-
D.
Hakitia
Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
-
E.
Hekinan
Hekinan is a coastal industrial city in central Japan known for its manufacturing sector and location along Mikawa Bay in Aichi Prefecture.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6b96dc8190ae37d0d28e4c393b |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300d672fc8190ad5b937d02a737fd |
completed | April 6, 2026, 12:39 a.m. |
| NEDg | Description generation | batch_69d30254aabc8190966a4398c59a851e |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d30305924c8190998cbefa372dca9a |
completed | April 6, 2026, 12:49 a.m. |
Created at: March 30, 2026, 9:10 p.m.