Triple
T14778716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Mison |
E347332
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Hurtwood House |
E30459
|
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: Hurtwood House | Statement: [Tom Mison, educatedAt, Hurtwood House]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurtwood House Context triple: [Tom Mison, educatedAt, Hurtwood House]
-
A.
Hurtwood House
chosen
Hurtwood House is a prestigious independent sixth-form boarding college in Surrey, England, known for its strong emphasis on the performing arts and creative subjects.
-
B.
Woodland Mansion
Woodland Mansion is a rare, large, and maze-like hostile structure in Minecraft’s dark forest biomes, filled with illagers, loot, and secret rooms.
-
C.
Hall’s Croft
Hall’s Croft is a historic timber-framed house in Stratford-upon-Avon, best known as the former home of William Shakespeare’s daughter Susanna and her husband, physician John Hall.
-
D.
Hayes End
Hayes End is a suburban area within the town of Hayes in west London, known primarily as a residential neighborhood with local amenities and green spaces.
-
E.
Green Hall
Green Hall is the main academic and administrative building that houses the University of Kansas School of Law.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec817c39081909b08a0ffdfce9936 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0d00d46c8190b6289a9b8511a8fb |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.