Triple
T16794208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott |
E408189
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Adam Scott |
E372928
|
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: Adam Scott | Statement: [Scott, hasNotableBearer, Adam Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Scott Context triple: [Scott, hasNotableBearer, Adam Scott]
-
A.
Adam Scott
chosen
Adam Scott is an American actor and comedian known for his roles in films like Step Brothers and the TV series Parks and Recreation.
-
B.
Adam Scott
Adam Scott is an Australian professional golfer and former world number one known for winning the 2013 Masters Tournament.
-
C.
Peter Casey
Peter Casey is a collegiate sports administrator who has served as the athletic director for the UMass Lowell River Hawks athletic program.
-
D.
Peter Casey
Peter Casey is an American television producer and writer best known as a co-creator of the acclaimed sitcom "Frasier."
-
E.
Graeme McDowell
Graeme McDowell is a Northern Irish professional golfer and major champion best known for winning the 2010 U.S. Open and multiple European Tour titles.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a8b66c8190b83d8af85d2b23a8 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.