Triple
T13323995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles |
E317388
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Chas |
E72765
|
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: Chas | Statement: [Charles, hasShortForm, Chas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chas Context triple: [Charles, hasShortForm, Chas]
-
A.
Chas
chosen
Chas is a common diminutive or nickname for the given name Charles.
-
B.
Chas
Chas is a prominent suburban town and commercial hub located near Bokaro Steel City in the Indian state of Jharkhand.
-
C.
Chater
Chater was the original name of Hong Kong’s Central MTR station, a major interchange hub on the city’s rapid transit network.
-
D.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
E.
Chel
Chel is a clever and resourceful native woman from the animated film "The Road to El Dorado," known for her quick wit, charm, and alliance with the protagonists Tulio and Miguel.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992c1fec8190bcb6a6bb3c973a24 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2cd5688190a2a0db0f0295de83 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:30 p.m.