Triple
T16684348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erica Kane |
E405419
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Eric Kane
Eric Kane is a fictional character from the soap opera "All My Children," best known as the father of iconic heroine Erica Kane.
|
E1228323
|
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: Eric Kane | Statement: [Erica Kane, father, Eric Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Kane Context triple: [Erica Kane, father, Eric Kane]
-
A.
Devlin Daley
Devlin Daley is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
-
B.
Jack Daley
Jack Daley is an actor known for appearing in the film "Hellgate."
-
C.
Kevin Dunne
Kevin Dunne is a central character in the film "Snake Eyes," portrayed as a high-ranking military officer whose actions drive the movie’s conspiracy-laden plot.
-
D.
Louis Kane
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
-
E.
Jake Kane
Jake Kane is a fictional character from the television series "Veronica Mars," known as the wealthy and influential father of Lilly and Duncan Kane in the town of Neptune, California.
- 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: Eric Kane Triple: [Erica Kane, father, Eric Kane]
Generated description
Eric Kane is a fictional character from the soap opera "All My Children," best known as the father of iconic heroine Erica Kane.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eric Kane Target entity description: Eric Kane is a fictional character from the soap opera "All My Children," best known as the father of iconic heroine Erica Kane.
-
A.
Devlin Daley
Devlin Daley is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
-
B.
Jack Daley
Jack Daley is an actor known for appearing in the film "Hellgate."
-
C.
Kevin Dunne
Kevin Dunne is a central character in the film "Snake Eyes," portrayed as a high-ranking military officer whose actions drive the movie’s conspiracy-laden plot.
-
D.
Louis Kane
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
-
E.
Jake Kane
Jake Kane is a fictional character from the television series "Veronica Mars," known as the wealthy and influential father of Lilly and Duncan Kane in the town of Neptune, California.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d71a66881908c8d06cc074fdf29 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a422f8c8190873fd7089df8fbd4 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b41a1648190bd1c2268c8a80ee2 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008c2bcac48190801ba34fde104a8a |
completed | May 10, 2026, 1:46 p.m. |
Created at: April 10, 2026, 5:19 a.m.