Triple
T16310513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EuroTrip |
E396041
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Michelle Trachtenberg |
—
|
NE NERFINISHED |
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: Michelle Trachtenberg | Statement: [EuroTrip, castMember, Michelle Trachtenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Trachtenberg Context triple: [EuroTrip, castMember, Michelle Trachtenberg]
-
A.
Michelle Trachtenberg
chosen
Michelle Trachtenberg is an American actress best known for her role as Dawn Summers on the television series "Buffy the Vampire Slayer."
-
B.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
C.
Jyll Rosenfeld
Jyll Rosenfeld is an American talent manager and producer best known as the longtime wife and manager of comedian Jackie Mason.
-
D.
Sarah E. Reisman
Sarah E. Reisman is an American organic chemist known for her work in complex natural product synthesis and as a professor at the California Institute of Technology.
-
E.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288da27f88190aa241e3addf9cd7f |
completed | April 17, 2026, 7:24 p.m. |
Created at: April 10, 2026, 5:06 a.m.