Triple
T18109638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arsinoe of Macedon |
E433437
|
entity |
| Predicate | husband |
P21331
|
FINISHED |
| Object | Lagus |
—
|
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: Lagus | Statement: [Arsinoe of Macedon, husband, Lagus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagus Context triple: [Arsinoe of Macedon, husband, Lagus]
-
A.
Lagus
chosen
Lagus was a Macedonian nobleman traditionally regarded as the father of Ptolemy I Soter, the founder of Egypt’s Ptolemaic dynasty.
-
B.
Lagunen
Lagunen is a major light rail terminus and commercial hub in Bergen, Norway, serving the city's Bybanen system and the surrounding suburban area.
-
C.
The Lagoon
The Lagoon is a Post-Impressionist painting by French artist Henri-Edmond Cross, known for its luminous color and pointillist technique depicting a serene coastal scene.
-
D.
Datai Bay
Datai Bay is a secluded, upscale beach area on Langkawi Island in Malaysia, renowned for its pristine shoreline, luxury resorts, and surrounding ancient rainforest.
-
E.
Heiliger See
Heiliger See is a picturesque lake in Potsdam, Germany, known for its scenic setting amid historic palaces and gardens.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd13cb48190bff06b472e34dd0e |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.