Triple
T10119632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Bexley |
E223250
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vansittart |
E842351
|
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: Vansittart | Statement: [Lord Bexley, familyName, Vansittart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vansittart Context triple: [Lord Bexley, familyName, Vansittart]
-
A.
Vansittart
chosen
Vansittart is a British surname historically associated with politicians, civil servants, and other notable public figures.
-
B.
Vitasta
Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
-
C.
Vitte
Vitte is the largest village and main tourist and administrative center on the Baltic Sea island of Hiddensee in Germany.
-
D.
Ponvannan
Ponvannan is an Indian actor and director known for his character roles in Tamil cinema and television.
-
E.
Vaala
Vaala is a municipality in northern Finland known for its lakeside landscapes and location along the Oulujoki river.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2659cdc8190b3ba91426bda55ec |
completed | April 2, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5b6101081909c97956591b01af9 |
completed | April 5, 2026, 10:44 p.m. |
Created at: March 30, 2026, 9:04 p.m.