Triple
T13021257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Moy |
E326176
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Moy |
E947034
|
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: Moy | Statement: [Sylvia Moy, familyName, Moy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moy Context triple: [Sylvia Moy, familyName, Moy]
-
A.
Moy
chosen
Moy is a small village in County Tyrone, Northern Ireland, known for its historic market square and location near the River Blackwater.
-
B.
Mou
Mou is a popular nickname for José Mourinho, the renowned Portuguese football manager famously dubbed "The Special One."
-
C.
Mayoon
Mayoon is a village in the Lower Hunza region of Gilgit-Baltistan, Pakistan, known for its mountainous landscape and traditional Hunza culture.
-
D.
Moʼ
Moʼ is the name element of the early Classic Maya ruler Kʼinich Yax Kʼukʼ Moʼ, founder of the Copán dynasty.
-
E.
Moi
Moi is a Kenyan surname most prominently associated with Daniel arap Moi, the long-serving second President of Kenya.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c119e19c81908ae2b1caff6f2f32 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:52 p.m.