Triple
T12912838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deathstroke |
E308901
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Adeline Kane
Adeline Kane is a skilled military officer and strategist in DC Comics, best known for her complex relationship with the assassin Deathstroke and her role in training and opposing him.
|
E1010009
|
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: Adeline Kane | Statement: [Deathstroke, spouse, Adeline Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adeline Kane Context triple: [Deathstroke, spouse, Adeline Kane]
-
A.
Adeline
Adeline is the middle name of Frances Adeline Seward, an American abolitionist and the wife of U.S. Secretary of State William H. Seward.
-
B.
Adeline
Adeline is a fictional character from Honoré de Balzac’s novel "Cousin Bette," known as the long-suffering wife of Baron Hulot.
-
C.
Adeline
Adeline is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "The Romance of the Forest."
-
D.
Adeline
Adeline is the given first name of the renowned English modernist writer Virginia Woolf.
-
E.
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.
- 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: Adeline Kane Triple: [Deathstroke, spouse, Adeline Kane]
Generated description
Adeline Kane is a skilled military officer and strategist in DC Comics, best known for her complex relationship with the assassin Deathstroke and her role in training and opposing him.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adeline Kane Target entity description: Adeline Kane is a skilled military officer and strategist in DC Comics, best known for her complex relationship with the assassin Deathstroke and her role in training and opposing him.
-
A.
Adeline
Adeline is the middle name of Frances Adeline Seward, an American abolitionist and the wife of U.S. Secretary of State William H. Seward.
-
B.
Adeline
Adeline is a fictional character from Honoré de Balzac’s novel "Cousin Bette," known as the long-suffering wife of Baron Hulot.
-
C.
Adeline
Adeline is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "The Romance of the Forest."
-
D.
Adeline
Adeline is the given first name of the renowned English modernist writer Virginia Woolf.
-
E.
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.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719f96248190b746f9d4a468560c |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a56ea03c819093a5b8657e27768e |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a68978008190a9d8695b09a8cb3a |
completed | May 3, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a8a31264819082c1ce67eaa529cc |
completed | May 3, 2026, 1:45 a.m. |
Created at: April 9, 2026, 5:41 p.m.