Triple
T4895639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorrow |
E109669
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Jacob Vaark |
E122798
|
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: Jacob Vaark | Statement: [Sorrow, hasRelationshipWith, Jacob Vaark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Vaark Context triple: [Sorrow, hasRelationshipWith, Jacob Vaark]
-
A.
Jacob Vaark
chosen
Jacob Vaark is a 17th-century Anglo-Dutch farmer and landowner in Toni Morrison’s novel "A Mercy," whose experiences reflect the brutal complexities of early American colonialism and slavery.
-
B.
Johan Evertsen
Johan Evertsen was a prominent 17th-century Dutch admiral who played a key role in the naval conflicts of the Dutch Republic, including the Anglo-Dutch Wars.
-
C.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
D.
Johan
Johan is the given first name of the Swedish playwright and novelist August Strindberg.
-
E.
Jost Vacano
Jost Vacano is a German cinematographer renowned for his dynamic, technically innovative work on films such as "Das Boot," "RoboCop," and other major international productions.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e27cdf48190bb9bd13bd25b887e |
completed | March 20, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81b9ab4c81909173686a76d32a88 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:28 p.m.