Triple
T13512607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs Hughes |
E322675
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Elsie |
E214702
|
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: Elsie | Statement: [Mrs Hughes, givenName, Elsie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elsie Context triple: [Mrs Hughes, givenName, Elsie]
-
A.
Elsie
Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
-
B.
Elsie
Elsie is the internal codename Apple used for the Macintosh LC personal computer during its development.
-
C.
Elsie
chosen
Elsie is a feminine given name, originally a diminutive of Elizabeth, that has become a standalone name in its own right.
-
D.
Elsie
Elsie is the first full-length studio album by rock duo The Horrible Crowes, known for its dark, soulful blend of alternative rock and Americana.
-
E.
Maisie Brumble
Maisie Brumble is a brave and adventurous young girl who becomes a central hero in the animated film "The Sea Beast," challenging traditions of monster hunting and forging an unlikely bond with a legendary sea creature.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf87ca288190a147fbdb2f90985f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75492676c81909602745e2b6436cb |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.