Triple
T6626049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheed |
E149802
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Sheed |
E149802
|
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: Sheed | Statement: [Sheed, nickname, Sheed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheed Context triple: [Sheed, nickname, Sheed]
-
A.
Sheed
chosen
Sheed is the popular nickname of Rasheed Wallace, a former NBA All-Star forward known for his fiery competitiveness, three-point shooting, and key role in the Detroit Pistons’ 2004 championship.
-
B.
Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
-
C.
Kedzie
Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
-
D.
Kedzie
Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
-
E.
Garthdee
Garthdee is a riverside area in the southwest of Aberdeen, Scotland, known for hosting the main campus of Robert Gordon University.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa0feb0819099629c0fba590a05 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44d356c8190ad4f2a617c3de4af |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:58 p.m.