Triple
T8336137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikki Amuka-Bird |
E195789
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | LAMDA |
E218631
|
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: LAMDA | Statement: [Nikki Amuka-Bird, educatedAt, LAMDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAMDA Context triple: [Nikki Amuka-Bird, educatedAt, LAMDA]
-
A.
LAMDA
chosen
LAMDA is a prestigious London-based drama school renowned for training actors, directors, and other performing arts professionals.
-
B.
Lammys
The Lammys are prestigious literary awards presented annually by Lambda Literary to honor excellence in LGBTQ+ literature across multiple genres.
-
C.
Lisan
Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
-
D.
Latada
Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
-
E.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd3fc80819097b326119107ad4d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95e17300819090e405c4c60b280d |
completed | April 1, 2026, 10:02 p.m. |
Created at: March 30, 2026, 5:57 p.m.