Triple
T5086378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maccus |
E114646
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Macus |
E114646
|
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: Macus | Statement: [Maccus, hasVariantForm, Macus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macus Context triple: [Maccus, hasVariantForm, Macus]
-
A.
Maccus
chosen
Maccus is an Old Norse–derived given name that served as the historical root for the later surname and given name Maxwell.
-
B.
Lúcio
Lúcio is a Brazilian architect and urban planner best known as the principal designer of Brasília, the country’s modernist capital city.
-
C.
Sebastos
Sebastos was the grand artificial harbor of ancient Caesarea Maritima, renowned as one of the largest and most advanced seaports of the Roman world.
-
D.
Sychaeus
Sychaeus is a wealthy Phoenician nobleman and priest of Hercules in Roman mythology, best known as the murdered husband of Queen Dido of Carthage.
-
E.
Lebbaeus
Lebbaeus is an alternative name traditionally associated with the apostle Thaddaeus, one of the Twelve Apostles of Jesus in the New Testament.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd751fb6dc8190be674c92a17e8c0e |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb13fd3a88190b5a665ba56fdd455 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:40 p.m.