Triple
T15278609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginza Six |
E365206
|
entity |
| Predicate | hasTenant |
P3277
|
FINISHED |
| Object | Céline |
E324687
|
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: Céline | Statement: [Ginza Six, hasTenant, Céline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Céline Context triple: [Ginza Six, hasTenant, Céline]
-
A.
Céline
Céline is the French given name of internationally renowned Canadian singer Céline Dion.
-
B.
Celine
chosen
Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
-
C.
Cécile
Cécile is the sensitive and central protagonist of the French film "Cible émouvante," around whom the story’s emotional and narrative developments revolve.
-
D.
La Malène
La Malène is a small picturesque village in southern France, known as a gateway to the scenic Gorges du Tarn and popular for river-based outdoor activities.
-
E.
Véronique
Véronique is the idealistic young Maoist student protagonist in Jean-Luc Godard’s 1967 film "La Chinoise," whose political radicalization and intellectual debates drive the film’s exploration of revolutionary ideology.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef734f488190951d029183d456f5 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.