Triple
T21367587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikki Alexander |
E526960
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Alexander |
—
|
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: Alexander | Statement: [Nikki Alexander, hasFamilyName, Alexander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Context triple: [Nikki Alexander, hasFamilyName, Alexander]
-
A.
Alexander
Alexander is another name for Paris, the Trojan prince in Greek mythology whose abduction of Helen sparked the Trojan War.
-
B.
Alexander
chosen
Alexander is a common male given name of Greek origin, meaning "defender of men."
-
C.
Alexander
Alexander, also known as Wamsutta, was a 17th-century Wampanoag leader and the eldest son of Massasoit, who played a key role in early relations between Native Americans and English colonists in New England.
-
D.
Alexander
Alexander is the son of Muriel Pritchett, a central character in Anne Tyler’s novel "The Accidental Tourist."
-
E.
Alexander
"Alexander" is an epic historical drama film directed by Oliver Stone that chronicles the life and conquests of Alexander the Great.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bae5eb88190be6d9ff4dc03d52b |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:09 p.m.