Triple
T16016106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friends from College |
E388469
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Annie Parisse |
E1094763
|
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: Annie Parisse | Statement: [Friends from College, castMember, Annie Parisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annie Parisse Context triple: [Friends from College, castMember, Annie Parisse]
-
A.
Annie Parisse
chosen
Annie Parisse is an American actress known for her work in television and film, including prominent roles in series like "Law & Order" and "The Following."
-
B.
Annie Reisinger
Annie Reisinger was the wife of influential Austrian economist and political scientist Joseph Schumpeter.
-
C.
Caitlin Moltisanti
Caitlin Moltisanti is the infant daughter of Christopher Moltisanti in the television series "The Sopranos."
-
D.
Aimee Peyronnet
Aimee Peyronnet is a film producer best known for her work on the 2009 adaptation of "The Lovely Bones."
-
E.
Jessica Lemarie-Pirès
Jessica Lemarie-Pirès is a French former model best known as the wife of retired French international footballer Robert Pirès.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18294f6c48190ab9d3eead268f846 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf284fa481909b571d1bf107fca4 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.