Triple
T17598363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daphne |
E428631
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | Starlette |
E97056
|
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: Starlette | Statement: [Daphne, compatibleWith, Starlette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starlette Context triple: [Daphne, compatibleWith, Starlette]
-
A.
Starlette
chosen
Starlette is a lightweight, high-performance ASGI framework for building asynchronous web applications and services in Python.
-
B.
Starlet
Starlet is a track by the artist Pure, likely within the electronic or ambient music genre.
-
C.
Annette
Annette is a 2021 French musical romantic drama film directed by Leos Carax, starring Adam Driver and Marion Cotillard, known for its unconventional storytelling and operatic style.
-
D.
Annette
Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
-
E.
Stella
Stella is a feminine given name of Latin origin meaning "star," used internationally and popularized in various cultures and media.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c474e5481909d2736241b592dab |
completed | April 19, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0216479c1c8190a56dfdc6d96350fc |
completed | May 11, 2026, 5:47 p.m. |
Created at: April 10, 2026, 5:51 a.m.