Triple
T11307308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overexposed |
E267748
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Payphone |
E267756
|
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: Payphone | Statement: [Overexposed, single, Payphone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Payphone Context triple: [Overexposed, single, Payphone]
-
A.
Payphone
chosen
"Payphone" is a 2012 pop song by Maroon 5 featuring rapper Wiz Khalifa, known for its catchy chorus and themes of heartbreak and regret.
-
B.
Telefon Bay
Telefon Bay is a small volcanic bay on Deception Island in Antarctica, known for its stark polar landscape and evidence of past eruptions.
-
C.
Landline
Landline is a 2017 American comedy-drama film set in 1990s New York City that follows a family dealing with infidelity and personal upheaval, starring Jenny Slate.
-
D.
Telephone City
Telephone City is the nickname of Brantford, Ontario, reflecting its historical association with Alexander Graham Bell and the early development of the telephone.
-
E.
Phone Booth
Phone Booth is a 2002 psychological thriller film centered on a man trapped in a New York City phone booth by a sniper who threatens to kill him if he hangs up.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525b4bdb88190b22d64eb65e97d9d |
completed | April 19, 2026, 6:57 p.m. |
Created at: April 8, 2026, 9:32 p.m.