Triple
T15393084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FX2 |
E368097
|
entity |
| Predicate | isSequelTo |
P1961
|
FINISHED |
| Object | F/X |
E1110918
|
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: F/X | Statement: [FX2, isSequelTo, F/X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F/X Context triple: [FX2, isSequelTo, F/X]
-
A.
F/X
chosen
F/X is a 1986 crime thriller film about a special effects expert hired to stage a fake assassination that turns dangerously real.
-
B.
F'lar
F'lar is a central dragonrider hero in Anne McCaffrey's Dragonriders of Pern series, known for his leadership, courage, and partnership with the bronze dragon Mnementh.
-
C.
Freak
"Freak" is a track from Cam'ron's 2002 hip-hop album "Come Home with Me," known for its explicit lyrics and club-oriented production.
-
D.
FAB
FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
-
E.
FAB
FAB is the IATA airport code for Farnborough Airport, a business aviation airport in Hampshire, England.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1350699c8190acf7830d88455851 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.