Triple
T21010049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avril Haines |
E517521
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Avril |
—
|
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: Avril | Statement: [Avril Haines, givenName, Avril]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avril Context triple: [Avril Haines, givenName, Avril]
-
A.
Avril
Avril is the given first name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
-
B.
Avril
chosen
Avril is the given first name of Kim Campbell, the former Prime Minister of Canada.
-
C.
Avril Incandenza
Avril Incandenza is a central, enigmatic maternal figure in David Foster Wallace’s novel "Infinite Jest," known for her complex relationships, emotional opacity, and pivotal role in the Incandenza family’s dysfunction.
-
D.
Avril Angers
Avril Angers was an English comic actress and variety performer known for her work on stage, radio, and in film and television from the mid-20th century onward.
-
E.
Stefani
Stefani is a prominent peak within Greece’s Mount Olympus massif, known for its striking rocky summit and dramatic alpine scenery.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3edc548190987a6c2c9936286a |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.