Triple
T5778918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broomhilda von Shaft |
E127508
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Broomhilda |
E127508
|
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: Broomhilda | Statement: [Broomhilda von Shaft, givenName, Broomhilda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broomhilda Context triple: [Broomhilda von Shaft, givenName, Broomhilda]
-
A.
Broomhilda von Shaft
chosen
Broomhilda von Shaft is the enslaved wife of Django and the central damsel-in-distress figure whose rescue drives the plot of Quentin Tarantino’s film "Django Unchained."
-
B.
Violanta
Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
-
C.
Sulamith
Sulamith is a haunting 1983 painting by German artist Anselm Kiefer that reflects on memory, loss, and the legacy of World War II through a monumental, charred interior space.
-
D.
Gisela
Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
-
E.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029e107348190a03086f1cbfae0d3 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e349d0088190be108aa266d3af82 |
completed | March 23, 2026, 6:52 a.m. |
Created at: March 22, 2026, 3:50 p.m.