Triple
T16100194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Deckard |
E390595
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object |
Rachael
Rachael is the enigmatic replicant woman from *Blade Runner* who becomes Rick Deckard’s complex and conflicted romantic partner.
|
E1193777
|
NE FINISHED |
How this triple was built (4 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: [Rick Deckard, loveInterest, Rachael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachael Context triple: [Rick Deckard, loveInterest, 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 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.
-
C.
Racheal
Racheal is a given name, typically a variant spelling of the more common name Rachel.
-
D.
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."
-
E.
Marlena Rosenbluth
Marlena Rosenbluth is a glamorous circus performer and animal trainer who becomes the central love interest and emotional core of Sara Gruen’s novel "Water for Elephants."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rachael Triple: [Rick Deckard, loveInterest, Rachael]
Generated description
Rachael is the enigmatic replicant woman from *Blade Runner* who becomes Rick Deckard’s complex and conflicted romantic partner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachael Target entity description: Rachael is the enigmatic replicant woman from *Blade Runner* who becomes Rick Deckard’s complex and conflicted romantic partner.
-
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 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.
-
C.
Racheal
Racheal is a given name, typically a variant spelling of the more common name Rachel.
-
D.
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."
-
E.
Marlena Rosenbluth
Marlena Rosenbluth is a glamorous circus performer and animal trainer who becomes the central love interest and emotional core of Sara Gruen’s novel "Water for Elephants."
- F. None of above. chosen
Provenance (5 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6756948190a7f5ecb375e59701 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9d6140819087f9b3dc549c4aec |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec273abc8190b050c50a395488ba |
completed | May 10, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecbd817881909cd8e8c69be1726f |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 5 a.m.