Triple
T9572977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Turner |
E230969
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Time Freak |
E807684
|
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: Time Freak | Statement: [Sophie Turner, appearedIn, Time Freak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Time Freak Context triple: [Sophie Turner, appearedIn, Time Freak]
-
A.
Time Freak
chosen
Time Freak is a 2018 sci-fi romantic comedy film about a young physics prodigy who builds a time machine to fix his failed relationship, starring Asa Butterfield and Sophie Turner.
-
B.
The Freak
The Freak is the nickname of Tim Lincecum, a former San Francisco Giants pitcher known for his dominant performances, unorthodox delivery, and multiple Cy Young Awards.
-
C.
Time Warp
"Time Warp" is a cult-classic rock musical number from *The Rocky Horror Picture Show*, famous for its quirky dance moves and frequent use in pop culture.
-
D.
Sudden Time
Sudden Time is an orchestral composition by British composer George Benjamin, noted for its intricate textures and exploration of temporal perception.
-
E.
Timecop
Timecop is a 1994 science fiction action film starring Jean-Claude Van Damme as a time-traveling police officer who must prevent criminals from altering the past for personal gain.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd998d79cc8190b94e5953915a5fa4 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1614f33108190901e3037654c50ab |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 8:04 p.m.