Triple
T14711447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FXM |
E345556
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Fox Movie Channel |
E412276
|
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: Fox Movie Channel | Statement: [FXM, formerName, Fox Movie Channel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fox Movie Channel Context triple: [FXM, formerName, Fox Movie Channel]
-
A.
Fox Movies
chosen
Fox Movies is a pay television movie channel brand known for broadcasting a wide range of Hollywood and international films across various global markets.
-
B.
Fox Channel
Fox Channel is an international entertainment television network known for airing a mix of popular TV series, movies, and original programming across various global markets.
-
C.
Fox Kids
Fox Kids was a popular American children's television programming block and network known for airing animated series and action-oriented shows during the 1990s and early 2000s.
-
D.
The Movie Network
The Movie Network was a Canadian premium television service known for broadcasting commercial-free movies, original series, and special event programming.
-
E.
CNN Films
CNN Films is a documentary film division of CNN that produces and acquires non-fiction feature films for theatrical release and television broadcast.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf08f2aa08190a5ac3240d1de90fb |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.