Triple
T15046763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Over |
E379247
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Freak |
E1086723
|
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: Freak | Statement: [Come Over, followedBy, Freak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freak Context triple: [Come Over, followedBy, Freak]
-
A.
Freak
chosen
"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.
-
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.
I’m a Freak
"I'm a Freak" is a dance-pop and reggaeton-influenced single by Enrique Iglesias featuring Pitbull, known for its explicit lyrics and club-oriented production.
-
D.
Freak Street
Freak Street is a historic neighborhood in Kathmandu, Nepal, famed as a 1960s–70s hippie trail hub lined with budget guesthouses, cafes, and shops.
-
E.
Some Freaks
Some Freaks is a 2016 independent coming-of-age drama film that explores body image, identity, and unconventional teenage relationships.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de73614819098b7a88624407d0e |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.