Triple
T5564298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parler tout bas |
E145842
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Moi... Lolita |
E145839
|
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: Moi... Lolita | Statement: [Parler tout bas, follows, Moi... Lolita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moi... Lolita Context triple: [Parler tout bas, follows, Moi... Lolita]
-
A.
Moi... Lolita
chosen
"Moi... Lolita" is a 2000 French pop song that launched singer Alizée to fame with its catchy melody and provocative, Lolita-themed lyrics.
-
B.
Lolita
Lolita is the controversial young heroine of Vladimir Nabokov’s novel, whose relationship with the older Humbert Humbert explores themes of obsession, manipulation, and moral ambiguity.
-
C.
Mi Bebé Masoquista
"Mi Bebé Masoquista" is a track by the ska-punk band Palookaville, known for its energetic style and playful, provocative title.
-
D.
The Girl
The Girl is a biographical drama film in which Sienna Miller portrays actress Tippi Hedren and explores Alfred Hitchcock’s obsessive relationship with his leading lady during the making of The Birds and Marnie.
-
E.
Paama
Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02032330c819094f2bc1e8c93a5b6 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3063b908190a105fbaac06f19af |
completed | March 23, 2026, 6:51 a.m. |
Created at: March 22, 2026, 3:36 p.m.