Triple
T9813800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Lloyd |
E238344
|
entity |
| Predicate | editedFilm |
P14416
|
FINISHED |
| Object | Zulu Dawn |
E823517
|
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: Zulu Dawn | Statement: [Russell Lloyd, editedFilm, Zulu Dawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zulu Dawn Context triple: [Russell Lloyd, editedFilm, Zulu Dawn]
-
A.
Zulu Dawn
chosen
Zulu Dawn is a 1979 British war film dramatizing the 1879 Battle of Isandlwana during the Anglo-Zulu War.
-
B.
Zulu Royal Conquerors
Zulu Royal Conquerors was the original name of AmaZulu F.C., a professional football club based in Durban, South Africa.
-
C.
The Spearhead
The Spearhead is the nickname of the U.S. 5th Marine Division, a World War II Marine Corps unit renowned for its pivotal role in the Battle of Iwo Jima.
-
D.
5 Days of War
5 Days of War is a 2011 action-war film depicting the 2008 Russo-Georgian conflict through the perspective of an American journalist.
-
E.
L’Assaut
L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb22410208190b82b81a4df800f80 |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5b264c88190bf16c8c32c360878 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:30 p.m.