Triple
T9322661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Strand |
E224307
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Sam Porter Bridges |
E43290
|
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: Sam Porter Bridges | Statement: [Sam Strand, alsoKnownAs, Sam Porter Bridges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Porter Bridges Context triple: [Sam Strand, alsoKnownAs, Sam Porter Bridges]
-
A.
Sam Porter Bridges
chosen
Sam Porter Bridges is the stoic, cargo-hauling protagonist of Hideo Kojima’s video game "Death Stranding," tasked with reconnecting a fractured post-apocalyptic America.
-
B.
Dylan Bridges
Dylan Bridges is a member of the Bridges acting family and the sibling of American actor Jordan Bridges.
-
C.
Aiden Mathis
Aiden Mathis is a skilled former assassin and key love interest in the TV series "Revenge," deeply entwined with Emily Thorne’s quest for vengeance.
-
D.
Noah Grant
Noah Grant was the grandfather of Ulysses S. Grant and an early American settler and farmer in Ohio.
-
E.
Topher Brink
Topher Brink is a brilliant but morally conflicted programmer and neuroscientist in the TV series "Dollhouse," responsible for designing and overseeing the mind-wiping and imprinting technology used on the show's "dolls."
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f466b08190884abdc56501a0d8 |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1525bd4e88190a62e5e383d1e786b |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 7:38 p.m.