Triple
T16291575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva LaRue |
E395534
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
John Callahan
John Callahan was an American actor best known for his long-running role as Edmund Grey on the soap opera "All My Children."
|
E1204928
|
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: John Callahan | Statement: [Eva LaRue, spouse, John Callahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Callahan Context triple: [Eva LaRue, spouse, John Callahan]
-
A.
John Callaghan
John Callaghan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Callaghan.
-
B.
Tom Keel
Tom Keel is known primarily as a former husband of American actress Rue McClanahan, famed for her role on the television series "The Golden Girls."
-
C.
John DeSalvo
John DeSalvo was an individual notable enough to be recognized among the distinguished burials at Holy Cross Cemetery in Brooklyn, New York.
-
D.
Mitch Cullin
Mitch Cullin is an American author known for his eclectic, often darkly imaginative fiction, including the novel that inspired the film "Tideland."
-
E.
John Tringali
John Tringali is an actor known for appearing in the 1958 Western film "The Left Handed Gun."
- 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: John Callahan Triple: [Eva LaRue, spouse, John Callahan]
Generated description
John Callahan was an American actor best known for his long-running role as Edmund Grey on the soap opera "All My Children."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Callahan Target entity description: John Callahan was an American actor best known for his long-running role as Edmund Grey on the soap opera "All My Children."
-
A.
John Callaghan
John Callaghan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Callaghan.
-
B.
Tom Keel
Tom Keel is known primarily as a former husband of American actress Rue McClanahan, famed for her role on the television series "The Golden Girls."
-
C.
John DeSalvo
John DeSalvo was an individual notable enough to be recognized among the distinguished burials at Holy Cross Cemetery in Brooklyn, New York.
-
D.
Mitch Cullin
Mitch Cullin is an American author known for his eclectic, often darkly imaginative fiction, including the novel that inspired the film "Tideland."
-
E.
John Tringali
John Tringali is an actor known for appearing in the 1958 Western film "The Left Handed Gun."
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24919345881909ba4e7fe2e59340f |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f97895081909f22ded3507afe14 |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a0020c8f904819090bea8655972fa85 |
completed | May 10, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00213560588190850ab5a66fc43704 |
completed | May 10, 2026, 6:09 a.m. |
Created at: April 10, 2026, 5:05 a.m.