Triple
T13119474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Woodhouse |
E311684
|
entity |
| Predicate | hasAcquaintance |
P53758
|
FINISHED |
| Object | Mr. Elton |
E510505
|
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: Mr. Elton | Statement: [Emma Woodhouse, hasAcquaintance, Mr. Elton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Elton Context triple: [Emma Woodhouse, hasAcquaintance, Mr. Elton]
-
A.
Mr. Elton
chosen
Mr. Elton is the self-important village vicar and would-be suitor whose vanity and social ambition create romantic complications in the 1996 film adaptation of Jane Austen’s "Emma."
-
B.
Elton
Elton is the middle name of the influential Canadian science fiction author A. E. van Vogt.
-
C.
Elton
Elton is a district or locality within the town and parliamentary constituency of Bury North in Greater Manchester, England.
-
D.
Elton Chase
Elton Chase was the husband of American artist and pioneering video art figure Doris Totten Chase.
-
E.
Elton John
Elton John is a legendary British singer, pianist, and composer known for his flamboyant style and numerous hit songs across several decades.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bce3678819082a7aa1d83f20592 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5d205408190883b67739d5efaa7 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:06 p.m.