Triple
T11747639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rendition |
E279324
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Kelly Sane
Kelly Sane is a screenwriter best known for writing the political thriller film "Rendition."
|
E944755
|
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: Kelly Sane | Statement: [Rendition, screenwriter, Kelly Sane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelly Sane Context triple: [Rendition, screenwriter, Kelly Sane]
-
A.
Rachel Kane
Rachel Kane is a key CIA operative and mission handler in the video game Call of Duty: Black Ops III, guiding and assisting the player throughout much of the campaign.
-
B.
Kyla Deaver
Kyla Deaver is an American child actress best known for her role in the horror film "The Conjuring."
-
C.
Deborah Kane
Deborah Kane is known as the daughter of Bob Kane, the co-creator of the iconic DC Comics superhero Batman.
-
D.
Nessa Jenkins
Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
-
E.
Hillary Jordan
Hillary Jordan is an American novelist best known for her award-winning debut novel "Mudbound," a historical drama exploring race, family, and hardship in the Jim Crow-era Mississippi Delta.
- 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: Kelly Sane Triple: [Rendition, screenwriter, Kelly Sane]
Generated description
Kelly Sane is a screenwriter best known for writing the political thriller film "Rendition."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kelly Sane Target entity description: Kelly Sane is a screenwriter best known for writing the political thriller film "Rendition."
-
A.
Rachel Kane
Rachel Kane is a key CIA operative and mission handler in the video game Call of Duty: Black Ops III, guiding and assisting the player throughout much of the campaign.
-
B.
Kyla Deaver
Kyla Deaver is an American child actress best known for her role in the horror film "The Conjuring."
-
C.
Deborah Kane
Deborah Kane is known as the daughter of Bob Kane, the co-creator of the iconic DC Comics superhero Batman.
-
D.
Nessa Jenkins
Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
-
E.
Hillary Jordan
Hillary Jordan is an American novelist best known for her award-winning debut novel "Mudbound," a historical drama exploring race, family, and hardship in the Jim Crow-era Mississippi Delta.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a0492b48190b6f2e3cf36b4f537 |
completed | April 28, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_69f0319520dc8190817c5e75ddb7d40b |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05ad36e4c8190b7239e5b33713369 |
completed | April 28, 2026, 6:59 a.m. |
Created at: April 8, 2026, 9:41 p.m.