Triple
T16769380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Moors Cabot |
E407551
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Moors |
E407551
|
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: Moors | Statement: [John Moors Cabot, hasMiddleName, Moors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moors Context triple: [John Moors Cabot, hasMiddleName, Moors]
-
A.
Moors
chosen
Moors is a surname of English origin that appears as the middle name of American businessman and philanthropist John Moors Cabot.
-
B.
Moors
The Moors were medieval Muslim inhabitants of the Maghreb, Iberian Peninsula, and parts of Western Africa, known for their significant cultural, scientific, and architectural influence on Europe, especially in Spain and Portugal.
-
C.
Muslim Moors
Muslim Moors are a Muslim ethnic community of Arab and local descent primarily found in Sri Lanka, historically known for their role in trade and cultural exchange.
-
D.
Mouriscas
Mouriscas is a civil parish in the municipality of Abrantes, located in central Portugal.
-
E.
Awraba Berbers
The Awraba Berbers were an influential Berber tribe of North Africa, prominent in early Islamic-era Morocco and known for their political and military role in the region.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0356a9c8190b316cd00223e7537 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a533e83481909966a7b86c8c8e64 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.