Triple
T5885796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariana Greenblatt |
E130857
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | 65 (2023 film) |
E553627
|
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: 65 (2023 film) | Statement: [Ariana Greenblatt, appearedIn, 65 (2023 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 65 (2023 film) Context triple: [Ariana Greenblatt, appearedIn, 65 (2023 film)]
-
A.
65 (2023 film)
chosen
65 (2023 film) is a sci-fi thriller in which a pilot and a young girl struggle to survive on prehistoric Earth after a catastrophic crash landing.
-
B.
Koa in 65 (2023 film)
Koa in "65" (2023) is a young girl and one of the only survivors alongside Adam Driver’s character after a catastrophic spaceship crash on prehistoric Earth.
-
C.
The 305
The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
-
D.
Aksi
Aksi is a small Estonian island in the Gulf of Finland, known for its natural landscapes and sparse habitation.
-
E.
Yannai
Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03678dd2c819095926f80f25696b0 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bff9ecdc819098823b003cec66a2 |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:57 p.m.