Triple
T3996404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FX Networks |
E87107
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object | FXM |
E345556
|
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: FXM | Statement: [FX Networks, sisterChannel, FXM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FXM Context triple: [FX Networks, sisterChannel, FXM]
-
A.
FXM
chosen
FXM is an American cable television channel owned by FX Networks that primarily airs movies, including contemporary films and classic titles.
-
B.
FMX
FMX (FireMonkey) is a cross-platform application development framework used in Delphi for building native GUI applications on Windows, macOS, iOS, and Android.
-
C.
FX2
FX2 is a 1991 action-thriller film and sequel to the movie "F/X," starring Brian Dennehy and Bryan Brown as they again use movie special-effects skills to outwit criminals.
-
D.
Fon
Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
-
E.
MXP
MXP is the IATA airport code for Milan Malpensa Airport, the largest international airport serving the Milan metropolitan area in Italy.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa2159d88190a01de8b038341916 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5403f14ec8190a77189c7066676f2 |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:34 p.m.