Triple
T16231436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacey Schwimmer |
E393990
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Benji Schwimmer |
E1200614
|
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: Benji Schwimmer | Statement: [Lacey Schwimmer, hasRelative, Benji Schwimmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benji Schwimmer Context triple: [Lacey Schwimmer, hasRelative, Benji Schwimmer]
-
A.
Benji Schwimmer
chosen
Benji Schwimmer is an American professional dancer, choreographer, and "So You Think You Can Dance" season two winner known for his work in swing and Latin ballroom.
-
B.
Ellis Schwimmer
Ellis Schwimmer is an individual notable enough to be recognized as a prominent bearer of the surname Schwimmer.
-
C.
Rusty Schwimmer
Rusty Schwimmer is an American character actress known for her work in film and television, often portraying strong, memorable supporting roles.
-
D.
Adam Kimmel
Adam Kimmel is an American cinematographer known for his work on acclaimed films such as "Capote," "Lars and the Real Girl," and "Never Let Me Go."
-
E.
David Schwimmer
David Schwimmer is an American actor and director best known for playing Ross Geller on the hit television sitcom "Friends."
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d29fa248190943f4c3f7808908b |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed71f488190bcdc2dcc74e5c5d3 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.