Triple
T8440848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilie |
E199346
|
entity |
| Predicate | befriends |
P39937
|
FINISHED |
| Object | Topthorn |
E734462
|
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: Topthorn | Statement: [Emilie, befriends, Topthorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topthorn Context triple: [Emilie, befriends, Topthorn]
-
A.
Topthorn
chosen
Topthorn is the powerful black war horse from Michael Morpurgo’s novel "War Horse," known for his strength, nobility, and close bond with the protagonist horse Joey.
-
B.
Thorn
Thorn is a surname most notably associated with Rod Thorn, a prominent figure in American professional basketball as both a player and executive.
-
C.
Thorn
Thorn is a historic city on the Vistula River, now known as Toruń in Poland, renowned for its well-preserved medieval architecture and as the birthplace of astronomer Nicolaus Copernicus.
-
D.
Blackthorn
Blackthorn is a 2011 Western film that imagines an aging Butch Cassidy living in Bolivia years after his presumed death.
-
E.
Coriaria
Coriaria is a genus of flowering plants known for its often toxic species with small, dark fruits and use in traditional dyes and tanning.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe138a94081908e306d22aaa39b24 |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4dc163488190a53d8696fdba94b5 |
completed | April 2, 2026, 11:06 a.m. |
Created at: March 30, 2026, 6:08 p.m.