Triple
T12911378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beast Boy |
E308871
|
entity |
| Predicate | fictionalMother |
P45914
|
FINISHED |
| Object |
Marie Logan
Marie Logan is a minor DC Comics character from the Teen Titans universe, known as the human mother of Beast Boy and a wildlife conservationist.
|
E1036029
|
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: Marie Logan | Statement: [Beast Boy, fictionalMother, Marie Logan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Logan Context triple: [Beast Boy, fictionalMother, Marie Logan]
-
A.
Marie McKay
Marie McKay was the wife of Austrian-American actor Joseph Schildkraut, a prominent performer of stage and early Hollywood cinema.
-
B.
Marie Fisher
Marie Fisher was the first wife of Fiorello H. La Guardia, the reformist mayor of New York City in the 1930s and 1940s.
-
C.
Marian McAlpin
Marian McAlpin is the conflicted young protagonist of Margaret Atwood’s novel "The Edible Woman," whose growing aversion to food mirrors her anxiety about identity, gender roles, and societal expectations.
-
D.
Roberta Logan
Roberta Logan is a fictional character appearing in the mystery film "Mr. Wong in Chinatown."
-
E.
Marie Allison
Marie Allison was the wife of legendary American jazz drummer and bandleader Buddy Rich.
- 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: Marie Logan Triple: [Beast Boy, fictionalMother, Marie Logan]
Generated description
Marie Logan is a minor DC Comics character from the Teen Titans universe, known as the human mother of Beast Boy and a wildlife conservationist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marie Logan Target entity description: Marie Logan is a minor DC Comics character from the Teen Titans universe, known as the human mother of Beast Boy and a wildlife conservationist.
-
A.
Marie McKay
Marie McKay was the wife of Austrian-American actor Joseph Schildkraut, a prominent performer of stage and early Hollywood cinema.
-
B.
Marie Fisher
Marie Fisher was the first wife of Fiorello H. La Guardia, the reformist mayor of New York City in the 1930s and 1940s.
-
C.
Marian McAlpin
Marian McAlpin is the conflicted young protagonist of Margaret Atwood’s novel "The Edible Woman," whose growing aversion to food mirrors her anxiety about identity, gender roles, and societal expectations.
-
D.
Roberta Logan
Roberta Logan is a fictional character appearing in the mystery film "Mr. Wong in Chinatown."
-
E.
Marie Allison
Marie Allison was the wife of legendary American jazz drummer and bandleader Buddy Rich.
- 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_69f7265af6cc81908837c80797a8e704 |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f7270bf9308190a3e9427ffce0e3ee |
completed | May 3, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f727d063c4819084b4990a0d759f79 |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 9, 2026, 5:41 p.m.