Triple
T11900103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Side Effects |
E283126
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Tony Ann |
E953606
|
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: Tony Ann | Statement: [Side Effects, writer, Tony Ann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Ann Context triple: [Side Effects, writer, Tony Ann]
-
A.
Tony Ann
chosen
Tony Ann is a contemporary pianist and composer known for his emotive, cinematic piano pieces and strong online following.
-
B.
Toni May
Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
-
C.
Annie Montrose
Annie Montrose is the sharp-tongued, media-savvy NASA Director of Media Relations in Andy Weir’s science fiction novel (and its film adaptation) "The Martian."
-
D.
Sheri Annis
Sheri Annis is a Republican political consultant and media strategist known for her work on ballot initiatives and as a conservative commentator.
-
E.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd16433881909befca9774bdaab4 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43ff588f08190affc45b44b9e85e3 |
completed | May 1, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.