Triple
T9725248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Horberg |
E235591
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Milk |
E185021
|
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: Milk | Statement: [William Horberg, notableWork, Milk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milk Context triple: [William Horberg, notableWork, Milk]
-
A.
Milk
chosen
Milk is a 2008 biographical film about gay rights activist and politician Harvey Milk, directed by Gus Van Sant and starring Sean Penn.
-
B.
Milk
Milk is a nutrient-rich white liquid produced by the mammary glands of mammals and widely consumed as a staple food and beverage by humans.
-
C.
Milch
Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
-
D.
Susu
The Susu are a West African ethnic group primarily found in Guinea, known for their Mande language, Islamic heritage, and significant role in regional trade and culture.
-
E.
Buttermilk
Buttermilk is a ski area in Aspen, Colorado, best known for its gentle beginner-friendly terrain and for hosting major freestyle events like the Winter X Games.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7838448190a7b5b259765a0d95 |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fadc2948190b405fb7f249b82aa |
completed | April 4, 2026, 11:33 p.m. |
Created at: March 30, 2026, 8:21 p.m.