Triple
T10108947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White forces |
E218191
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Whites |
E42091
|
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: Whites | Statement: [White forces, alsoKnownAs, Whites]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whites Context triple: [White forces, alsoKnownAs, Whites]
-
A.
Whites
chosen
Whites is an alternative name for the White movement, the loose coalition of anti-Bolshevik forces that fought against the Red Army during the Russian Civil War (1917–1923).
-
B.
Whites
Whites are a racial group of people typically characterized by light skin tones and European ancestry.
-
C.
Whites
The Whites, or White Mountains, are a rugged mountain range in northern New Hampshire known for their high peaks, challenging hiking trails, and iconic sections of the Appalachian Trail.
-
D.
White British
White British refers to people in the United Kingdom who identify as ethnically white and culturally or nationally British, forming the majority ethnic group in the country.
-
E.
Single White Female
Single White Female is a 1992 psychological thriller film about a woman whose new roommate becomes dangerously obsessed with her.
- 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd0cbd8a48190b2af6177d1249f58 |
completed | April 2, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc0f48808190855a7f8e839ccdae |
completed | April 5, 2026, 8:54 p.m. |
Created at: March 30, 2026, 9:03 p.m.