Triple
T22764412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelsea Handler |
E563082
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Are You There, Vodka? It's Me, Chelsea |
—
|
NE NERFINISHED |
How this triple was built (3 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: Are You There, Vodka? It's Me, Chelsea | Statement: [Chelsea Handler, notableWork, Are You There, Vodka? It's Me, Chelsea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Are You There, Vodka? It's Me, Chelsea Context triple: [Chelsea Handler, notableWork, Are You There, Vodka? It's Me, Chelsea]
-
A.
Love & Vodka
Love & Vodka is a film associated with actress Sophie von Haselberg, known as one of her notable screen roles.
-
B.
35 Shots of Rum
35 Shots of Rum is a 2008 French drama film by Claire Denis that quietly explores family bonds, independence, and change within a close-knit Parisian community.
-
C.
Booty Call
Booty Call is a 1997 American romantic comedy film known for its raunchy humor and focus on the misadventures of two couples navigating a chaotic date night.
-
D.
The Chaser
The Chaser is a 2008 South Korean crime thriller film about a disgraced ex-detective turned pimp who races against time to track down a serial killer, noted for its intense pacing and gritty realism.
-
E.
Drink with Me
"Drink with Me" is a poignant song from the musical Les Misérables in which the student revolutionaries reflect on friendship, mortality, and the uncertain future on the eve of battle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Are You There, Vodka? It's Me, Chelsea Target entity description: "Are You There, Vodka? It's Me, Chelsea" is a bestselling collection of humorous, autobiographical essays by comedian Chelsea Handler, known for its candid and irreverent storytelling.
-
A.
Love & Vodka
Love & Vodka is a film associated with actress Sophie von Haselberg, known as one of her notable screen roles.
-
B.
35 Shots of Rum
35 Shots of Rum is a 2008 French drama film by Claire Denis that quietly explores family bonds, independence, and change within a close-knit Parisian community.
-
C.
Booty Call
Booty Call is a 1997 American romantic comedy film known for its raunchy humor and focus on the misadventures of two couples navigating a chaotic date night.
-
D.
The Chaser
The Chaser is a 2008 South Korean crime thriller film about a disgraced ex-detective turned pimp who races against time to track down a serial killer, noted for its intense pacing and gritty realism.
-
E.
Drink with Me
"Drink with Me" is a poignant song from the musical Les Misérables in which the student revolutionaries reflect on friendship, mortality, and the uncertain future on the eve of battle.
- F. None of above. chosen
Provenance (2 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7f56848190b5e90f9916a5b349 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.