Triple
T19738642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eamonn Walker |
E474053
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Duma |
E569897
|
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: Duma | Statement: [Eamonn Walker, notableWork, Duma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duma Context triple: [Eamonn Walker, notableWork, Duma]
-
A.
Duma
Duma is a Palestinian village located in the Nablus Governorate in the northern part of the West Bank.
-
B.
Duma
chosen
Duma is a 2005 family adventure film directed by Carroll Ballard about a boy and his close bond with an orphaned cheetah in South Africa.
-
C.
Stalinets
Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
-
D.
Svechin
Svechin is a Russian surname most notably associated with military theorist Aleksandr Svechin.
-
E.
Tolbukhin
Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515f6efc8190a3da113847464399 |
completed | April 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4fba58c819090fdfb319096aa0a |
completed | May 16, 2026, 12:06 a.m. |
Created at: April 10, 2026, 1:47 p.m.