Triple
T8483886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Tweedy |
E200786
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jeffrey |
E61391
|
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: Jeffrey | Statement: [Jeff Tweedy, givenName, Jeffrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Context triple: [Jeff Tweedy, givenName, Jeffrey]
-
A.
Jeffrey
chosen
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
B.
Jeffery
Jeffery is a 2016 mixtape by American rapper Young Thug, known for its experimental sound and striking cover art featuring the artist in an elaborate dress.
-
C.
Jeffery
Jeffery Amherst, 1st Baron Amherst, was an 18th-century British Army officer best known for his role as commander-in-chief during the French and Indian War and for his controversial policies toward Indigenous peoples in North America.
-
D.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
E.
Jared
Jared is a village located in Pakistan’s scenic Kaghan Valley, known for its mountainous landscapes and tourism.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe539b70c81909f8f045312f0d5f8 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a348a8481908a72c7ac15605022 |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:12 p.m.