Triple
T8530295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laiyah Shannon Brown |
E201927
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Laiyah |
E201927
|
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: Laiyah | Statement: [Laiyah Shannon Brown, givenName, Laiyah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laiyah Context triple: [Laiyah Shannon Brown, givenName, Laiyah]
-
A.
Laiyah
Laiyah is a musical artist known for collaborating as a featured performer on the track "Code Red."
-
B.
Leyla
"Leyla" is a novel by German-Turkish author Feridun Zaimoglu that explores themes of migration, identity, and womanhood through the life story of its titular protagonist.
-
C.
Salma
Salma is a feminine given name of Arabic origin, commonly used in various cultures around the world.
-
D.
Laiyah Shannon Brown
chosen
Laiyah Shannon Brown is the daughter of American R&B singer Monica and former NBA player Shannon Brown.
-
E.
Bilqis
Bilqis is the traditional name, especially in Islamic tradition, for the Queen of Sheba, a legendary monarch known for her wisdom and encounter with the prophet-king Solomon.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe67546248190b359c845c0161ad3 |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d68d14c81908bde8ca0113f9503 |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:17 p.m.