Triple
T3975650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Daboll |
E85634
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Daboll |
E86892
|
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: Daboll | Statement: [Christian Daboll, familyName, Daboll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daboll Context triple: [Christian Daboll, familyName, Daboll]
-
A.
Daboll
chosen
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
B.
Darvin
Darvin is a masculine given name most notably borne by former NBA player and current basketball coach Darvin Ham.
-
C.
Adnis Reeves
Adnis Reeves is the late grandfather of Rumi Carter and the father of rapper and entrepreneur Jay-Z.
-
D.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
E.
Stringer Bell
Stringer Bell is a central character in the television series "The Wire," a calculating drug kingpin who studies business and economics to run his criminal organization like a legitimate enterprise.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9b6d8008190822fceabe6542b3d |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5401712188190aa6144dc1d5dcab6 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:33 p.m.