Triple
T15996813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Savage |
E387988
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Fred Savage |
E387988
|
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: Fred Savage | Statement: [Fred Savage, name, Fred Savage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Savage Context triple: [Fred Savage, name, Fred Savage]
-
A.
Fred Savage
chosen
Fred Savage is an American actor and director best known for his childhood role as Kevin Arnold on the television series "The Wonder Years."
-
B.
Corey Feldman
Corey Feldman is an American actor and former child star best known for his roles in 1980s films such as "The Goonies," "Stand by Me," and "The Lost Boys."
-
C.
Skeet Ulrich
Skeet Ulrich is an American actor best known for his roles in films like "Scream" and "The Craft" and the television series "Jericho."
-
D.
Cal Hudson
Cal Hudson is a Starfleet officer in the Star Trek universe who defects to join the Maquis resistance movement against the Cardassians.
-
E.
Dylan Walsh
Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157882ef0819081143e530bd6413c |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d79dec8190b02e003f93e5dad6 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.