Triple
T13305999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maarten ’t Hart |
E316935
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | De nakomer (novel) |
E1032039
|
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: De nakomer (novel) | Statement: [Maarten ’t Hart, notableWork, De nakomer (novel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De nakomer (novel) Context triple: [Maarten ’t Hart, notableWork, De nakomer (novel)]
-
A.
De nakomer
chosen
De nakomer is a Dutch novel by Maarten ’t Hart that explores themes of identity, memory, and personal transformation.
-
B.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
C.
The Novo
The Novo is a mid-sized live music and entertainment venue in downtown Los Angeles known for hosting concerts, special events, and performances.
-
D.
Nu couché
Nu couché is a famous early 20th-century oil painting by Amedeo Modigliani, renowned for its stylized depiction of a reclining nude and its pivotal role in modern art.
-
E.
Paama
Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2810a881908b1ed0cc4fb9ac12 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:28 p.m.