Triple
T16166939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanne Chory |
E392327
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chory |
E392327
|
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: Chory | Statement: [Joanne Chory, familyName, Chory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chory Context triple: [Joanne Chory, familyName, Chory]
-
A.
Chory
chosen
Chory is the surname of Joanne Chory, a prominent American plant biologist known for her pioneering work in plant genetics and hormone signaling.
-
B.
Chachro
Chachro is a town in Pakistan’s Sindh province, known for its location in the Thar Desert and its predominantly Hindu Thari community.
-
C.
Gruchy
Gruchy is a small hamlet in the Normandy region of France, best known as the birthplace of the painter Jean-François Millet.
-
D.
Chararic
Chararic was an early medieval king of the Suebi in Galicia, known primarily from sparse historical references to his rule during the post-Roman period in the Iberian Peninsula.
-
E.
Chorfa
Chorfa is a town and commune located within Algeria’s Bouira Province.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb3ec4c81908d4e5c0f39a85900 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b96bf08190b23bd3b705a34c61 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.