Triple
T11397752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Day language |
E270022
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Dai (Day) |
E197136
|
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: Dai (Day) | Statement: [Day language, hasAlternativeName, Dai (Day)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dai (Day) Context triple: [Day language, hasAlternativeName, Dai (Day)]
-
A.
Dai
Dai is a common Welsh given name, often used as a familiar or diminutive form of David.
-
B.
Dai
chosen
The Dai are an ethnic group in southern China and Southeast Asia, culturally related to the Thai and Lao peoples and known for their Theravada Buddhist traditions, distinctive festivals, and stilted wooden houses.
-
C.
Daag
Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
-
D.
Joi
Joi is an American R&B and neo-soul singer known for her pioneering role in the Atlanta music scene and her affiliation with the Dungeon Family collective.
-
E.
Joi
Joi is a holographic artificial intelligence companion in the film "Blade Runner 2049," embodying themes of synthetic emotion, identity, and the nature of love.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cd74280819092f8c420630f4889 |
completed | April 20, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:34 p.m.