Triple
T16008814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genisys |
E388286
|
entity |
| Predicate | partOfFranchise |
P1925
|
FINISHED |
| Object | Terminator franchise |
E43058
|
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: Terminator franchise | Statement: [Genisys, partOfFranchise, Terminator franchise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminator franchise Context triple: [Genisys, partOfFranchise, Terminator franchise]
-
A.
Terminator
"Terminator" is a popular Afrobeats song by Ghanaian singer King Promise, known for its smooth melodies and romantic, danceable vibe.
-
B.
Terminator
chosen
Terminator is a landmark science fiction action film franchise centered on time-traveling cyborgs and a future war between humans and machines.
-
C.
Van Terminator
The Van Terminator is Rob Van Dam’s signature high-impact diving kick, famous for its long-distance leap across the ring to strike an opponent in the corner.
-
D.
Ted franchise
The Ted franchise is a comedy film series centered on the crude, foul-mouthed living teddy bear created by Seth MacFarlane, blending raunchy humor with buddy-comedy elements.
-
E.
The Terminators
"The Terminators" is a spy novel by Donald Hamilton featuring his hard-edged government agent Matt Helm in a Cold War-era espionage adventure.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15801a58881909805d0b90011e6ff |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf22db3481909141ddef151d0341 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.