Triple
T9996764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nate Torrence |
E197220
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hello Ladies |
E187029
|
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: Hello Ladies | Statement: [Nate Torrence, notableWork, Hello Ladies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hello Ladies Context triple: [Nate Torrence, notableWork, Hello Ladies]
-
A.
Hello Ladies
Hello Ladies is a comedy television series created by Stephen Merchant that follows a socially awkward Englishman navigating the Los Angeles dating scene.
-
B.
Hey Ladies
"Hey Ladies" is a 1989 funk-infused hip hop single by the Beastie Boys, known for its playful lyrics, dense sampling, and prominent placement on their album *Paul's Boutique*.
-
C.
Ladies
The Ladies are the women's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
-
D.
Hello Ladies (TV series)
chosen
Hello Ladies is a comedy television series created by and starring Stephen Merchant, following an awkward Englishman's misadventures in the Los Angeles dating scene.
-
E.
Hello Ladies: The Movie
Hello Ladies: The Movie is a 2014 comedy film continuation of Stephen Merchant’s HBO series "Hello Ladies," following an awkward British web designer’s misadventures in Los Angeles dating culture.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb9af6a88190942cc4991bd373c1 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2583bd6948190b15a97187e81d958 |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:51 p.m.