Triple
T13031934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlon |
E326461
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Marl |
E733464
|
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: Marl | Statement: [Marlon, hasDiminutive, Marl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marl Context triple: [Marlon, hasDiminutive, Marl]
-
A.
Marl
chosen
Marl is an industrial town in western Germany’s North Rhine-Westphalia, known for its large chemical industry complex and location within the Ruhr area.
-
B.
Tenneville
Tenneville is a rural municipality in the Ardennes region of southern Belgium, known for its forests and small villages.
-
C.
The Mash
The Mash was a fictional studio group created for the film M*A*S*H, best known for performing the theme song "Suicide Is Painless."
-
D.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
E.
Marden
Marden is a village in Kent, England, known for its rural character and agricultural surroundings.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efe72348190b52fb4068f5fb829 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbcd25108190a6c4a129cde81534 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:54 p.m.