Triple
T7561630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest II, Count of Lippe-Biesterfeld |
E178806
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ernest |
E49898
|
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: Ernest | Statement: [Ernest II, Count of Lippe-Biesterfeld, givenName, Ernest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernest Context triple: [Ernest II, Count of Lippe-Biesterfeld, givenName, Ernest]
-
A.
Ernest
chosen
Ernest is a masculine given name of Germanic origin meaning "serious" or "resolute," borne by numerous notable figures across history and culture.
-
B.
Ernest Goes to School
Ernest Goes to School is a 1994 slapstick comedy film in the Ernest P. Worrell series, following the dim-witted but well-meaning Ernest as he returns to high school to earn his diploma.
-
C.
Maurice
Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
-
D.
Maurice
Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
-
E.
Homer Bigart
Homer Bigart was a Pulitzer Prize–winning American war correspondent renowned for his frontline reporting in conflicts such as World War II, the Korean War, and the Vietnam War.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f847c48190a1081aa9de7ff945 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d0cbfc8190b2cb2b601a7b078c |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.