Triple
T15526423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Huldai |
E369094
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Hulda |
E672600
|
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: Hulda | Statement: [Ron Huldai, placeOfBirth, Hulda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hulda Context triple: [Ron Huldai, placeOfBirth, Hulda]
-
A.
Hulda
chosen
Hulda is a feminine given name of Germanic origin, historically used in Scandinavian and German-speaking countries.
-
B.
Hjördis
Hjördis is a Scandinavian feminine given name, most notably borne by Swedish model and actress Hjördis Genberg.
-
C.
Halte-Hulda
Halte-Hulda is a literary work by Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson.
-
D.
Thora
Thora is a small rural locality in New South Wales, Australia, situated in the Bellingen Valley near the Bellinger River.
-
E.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04145178481909fb0339a79d4239e |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d598e6c8190870e9249197f5f53 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:05 a.m.