Triple
T19044123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlette |
E466084
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Harlette |
—
|
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: Harlette | Statement: [Arlette, alsoKnownAs, Harlette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harlette Context triple: [Arlette, alsoKnownAs, Harlette]
-
A.
Harlette
chosen
Harlette is a historical figure better known as Herleva, traditionally regarded as the mother of William the Conqueror.
-
B.
Sybille
Sybille was a French frigate that took part in the early 19th-century naval engagement known as the Battle of San Domingo.
-
C.
Bethia
Bethia was the original name of the British merchant vessel that was later purchased by the Royal Navy and renamed HMS Bounty, famed for the 1789 mutiny.
-
D.
Leonila
Leonila is a feminine given name commonly used in the Philippines and other Spanish-influenced cultures.
-
E.
Pauletta
Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d802a75c8190a4ce45e5fbffc1b7 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:03 p.m.