Triple
T7681761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella van Heemstra |
E174011
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ella |
E84771
|
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: Ella | Statement: [Ella van Heemstra, givenName, Ella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ella Context triple: [Ella van Heemstra, givenName, Ella]
-
A.
Ella
Ella is a scenic hill town in Sri Lanka’s Uva Province, known for its lush tea plantations, mountain views, and popular hiking trails such as Little Adam’s Peak and Ella Rock.
-
B.
Ella
chosen
Ella is a feminine given name most famously associated with legendary American jazz singer Ella Fitzgerald.
-
C.
Ella Henderson
Ella Henderson is an English singer and songwriter who rose to fame as a contestant on The X Factor UK and is known for hits like "Ghost."
-
D.
Ela
Ela is a feminine given name used in various cultures, often as a short form of names like Eleanor or Elżbieta.
-
E.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70201387c8190afc8479b5a9e21e8 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a25304b88190920c2e4908925ce2 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.