Triple
T6569841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ove Arup |
E155404
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ove |
E163350
|
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: Ove | Statement: [Ove Arup, givenName, Ove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ove Context triple: [Ove Arup, givenName, Ove]
-
A.
الدهناء
الدهناء هي صحراء رملية طويلة وضيقة في وسط شبه الجزيرة العربية تُعد من أبرز الصحارى السعودية التي تربط بين صحراء النفود الكبير والربع الخالي.
-
B.
Granny
Granny is a recurring elderly character in the Looney Tunes cartoons, best known as the kindly but sharp-witted owner of Tweety Bird (and often Sylvester’s exasperated caretaker).
-
C.
Hjalmar
chosen
Hjalmar is a masculine given name of Scandinavian origin, historically borne by several notable figures in Nordic countries.
-
D.
Laika
Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
-
E.
Laika
Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae56116c81909ab2fc0877363406 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb964fe48190a28fc50426d7c5d4 |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:53 p.m.