Triple
T1590702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelis Tromp |
E34171
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tromp |
E155808
|
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: Tromp | Statement: [Cornelis Tromp, familyName, Tromp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tromp Context triple: [Cornelis Tromp, familyName, Tromp]
-
A.
Tromp
chosen
Tromp is a Dutch surname most famously associated with the 17th-century admiral Cornelis Tromp and his naval family.
-
B.
Hamoaze
Hamoaze is a tidal estuarial stretch of the River Tamar in southwest England, forming part of Plymouth Sound and serving as an important naval waterway.
-
C.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
D.
Takanot
Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
-
E.
Mhysa
"Mhysa" is a musical piece from the Game of Thrones television score, best known as the powerful choral theme associated with Daenerys Targaryen’s liberation of the slaves in the Season 3 finale.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621526e8819097d8c5330e527ed3 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a0f5348190ae3fe8033360d800 |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:27 p.m.