Triple
T13483509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Baker |
E318433
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Barbarosa |
E844141
|
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: Barbarosa | Statement: [Ian Baker, workedOn, Barbarosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbarosa Context triple: [Ian Baker, workedOn, Barbarosa]
-
A.
Barbarosa
chosen
Barbarosa is a 1982 Western film, written by William D. Wittliff and starring Willie Nelson and Gary Busey, known for its blend of folklore, moral ambiguity, and character-driven storytelling.
-
B.
Etzel
Etzel is the powerful king of the Huns in the medieval German epic "Nibelungenlied," a figure based on the historical Attila the Hun.
-
C.
Etzel
Etzel was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
-
D.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
E.
Günther
Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463715dc8190a70a17b3ea661006 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.