Triple
T13125458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Roberts |
E311832
|
entity |
| Predicate | film |
P9968
|
FINISHED |
| Object | Aquamarine |
E1022362
|
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: Aquamarine | Statement: [Emma Roberts, film, Aquamarine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aquamarine Context triple: [Emma Roberts, film, Aquamarine]
-
A.
Aquamarine
Aquamarine is a blue to blue-green variety of the mineral beryl, prized as a gemstone for its clear, sea-colored appearance.
-
B.
Aquamarine
chosen
Aquamarine is a 2006 teen fantasy romantic comedy film about two best friends who discover a mermaid in a swimming pool.
-
C.
Sapphire
Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
-
D.
Sapphire
Sapphire is a 1959 British crime drama film that explores racial tensions and prejudice in London through the investigation of a young woman's murder.
-
E.
Sapphire
Sapphire is a precious gemstone variety of the mineral corundum, typically blue, valued for its hardness, brilliance, and use in fine jewelry and industrial applications.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819946808190b41335fb1054accd |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eade84f881909d5db24bc5c6e072 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:07 p.m.