Triple
T7693863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Michelle Gellar |
E174319
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ringer |
E573484
|
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: Ringer | Statement: [Sarah Michelle Gellar, notableWork, Ringer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ringer Context triple: [Sarah Michelle Gellar, notableWork, Ringer]
-
A.
Ringer
chosen
Ringer is a mystery-thriller television series starring Gabriel Mann alongside Sarah Michelle Gellar, centered on a woman who assumes her wealthy twin sister’s identity after witnessing a crime.
-
B.
The Rip
The Rip is a notoriously narrow and treacherous entrance channel between Port Phillip Bay and Bass Strait in Victoria, Australia, known for its strong tidal currents and hazardous navigation conditions.
-
C.
Main Ring
Main Ring was a former circular proton synchrotron at Fermilab that served as the laboratory’s primary accelerator before being superseded by the Main Injector.
-
D.
Ring
"Ring" is a hard science fiction novel by Stephen Baxter that explores cosmic-scale themes of space, time, and the far future of the universe.
-
E.
Ring
Ring is a smart home security and video doorbell company known for its connected cameras and home monitoring services.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702459f988190bf7087bf51d5317f |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8aca5f3388190b25e70caa364d712 |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 4:02 p.m.