Triple
T20698029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatal Attractions |
E508705
|
entity |
| Predicate | feature |
P374
|
FINISHED |
| Object | Cable |
—
|
NE NERFINISHED |
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: Cable | Statement: [Fatal Attractions, feature, Cable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cable Context triple: [Fatal Attractions, feature, Cable]
-
A.
Cable
chosen
Cable is a time-traveling, cybernetically enhanced mutant soldier from Marvel Comics, known for his complex connection to the X-Men and his role in the "Deadpool" film series.
-
B.
Der Kabelkanal
Der Kabelkanal was the original name of the German television channel that later became known as ProSieben.
-
C.
Cable (2017)
Cable (2017) is a Marvel Comics solo series following the time-traveling mutant warrior Cable on new missions across different eras.
-
D.
Cablofil
Cablofil is a Legrand-owned brand best known for its wire mesh cable management and cable tray systems used in electrical and data installations.
-
E.
Kabelsketal
Kabelsketal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany, situated near the city of Halle (Saale).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c1132178819081086e085f7b3ff8 |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:11 p.m.