Triple
T16222200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henderson |
E393755
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Hendrie |
E786825
|
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: Hendrie | Statement: [Henderson, hasVariant, Hendrie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hendrie Context triple: [Henderson, hasVariant, Hendrie]
-
A.
Hendrie
chosen
Hendrie is a given name and surname, primarily of Scottish origin, that functions as a variant form of the name Henry.
-
B.
Lundie
Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
-
C.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
D.
Haro
Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
-
E.
Qualley
Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fcf058819099d5ff965cc2c267 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079a5c1481909485e1b4a41f5d2c |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.