Triple
T16457592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 50/50 |
E399720
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Rachael |
E1193777
|
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: Rachael | Statement: [50/50, character, Rachael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachael Context triple: [50/50, character, Rachael]
-
A.
Rachael
Rachael is a feminine given name commonly used in English-speaking countries, often considered a variant of the biblical name Rachel.
-
B.
Rachael
chosen
Rachael is the enigmatic replicant woman from *Blade Runner* who becomes Rick Deckard’s complex and conflicted romantic partner.
-
C.
Rachael Prior
Rachael Prior is a British film and television producer known for her work alongside Nira Park on various acclaimed UK comedy and genre projects.
-
D.
Racheal
Racheal is a given name, typically a variant spelling of the more common name Rachel.
-
E.
Rachael Blake
Rachael Blake is an Australian actress known for her acclaimed performances in film and television, including a prominent role in the psychological drama "Lantana."
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7ef5cc819084cfeb1a3e39d3cc |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f51d93081909ede0adcf8e604d4 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.