Triple
T1595033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Washington Carver |
E34260
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Carver |
E155747
|
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: Carver | Statement: [George Washington Carver, familyName, Carver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carver Context triple: [George Washington Carver, familyName, Carver]
-
A.
Carver
chosen
Carver is a small town in southeastern Massachusetts known for its cranberry bogs and rural character.
-
B.
Cedar Miles
Cedar Miles is the frequent flyer loyalty program of Middle East Airlines, offering members mileage accrual and redemption benefits on flights and partner services.
-
C.
Nathaniel
Nathaniel is a masculine given name of Hebrew origin meaning "gift of God," historically borne by various notable figures in literature, science, and religion.
-
D.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092ccb388190b2f3ed86b3853651 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a595488190a73cfa867595b568 |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:27 p.m.