Triple
T18242118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makarov |
E436841
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object | Makar |
—
|
NE NERFINISHED |
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: Makar | Statement: [Makarov, derivedFromGivenName, Makar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makar Context triple: [Makarov, derivedFromGivenName, Makar]
-
A.
Makar
chosen
Makar is the surname of Cale Makar, a prominent Canadian professional ice hockey defenseman in the NHL.
-
B.
Mardaric
Mardaric is a minor river in southeastern France that serves as one of the tributaries feeding the Bléone River.
-
C.
Macken
Macken is a small municipality in western Germany’s Rhineland-Palatinate region, situated near the Moselle River.
-
D.
Stanimaka
Stanimaka is the former name of Asenovgrad, a historic town in southern Bulgaria known for its medieval fortress and numerous churches.
-
E.
Maurik
Maurik is a village in the Dutch province of Gelderland, known for its location along the Rhine and its recreational lakes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e387f481909d72574fb7d17923 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.