Triple
T21652851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Ashley |
E534380
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Christian Peppard
Christian Peppard is the son of American actress Elizabeth Ashley and actor George Peppard.
|
E1495448
|
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: Christian Peppard | Statement: [Elizabeth Ashley, child, Christian Peppard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Peppard Context triple: [Elizabeth Ashley, child, Christian Peppard]
-
A.
David Peel
David Peel was a British actor best known for his role as the aristocratic vampire Baron Meinster in Hammer Films' 1960 horror movie "The Brides of Dracula."
-
B.
Keith Follesé
Keith Follesé is an American country music songwriter known for penning numerous hits for major Nashville artists.
-
C.
John Du Prez
John Du Prez is a British composer and musician best known for his film scores and long-running collaboration with the comedy group Monty Python.
-
D.
Christopher Shea
Christopher Shea was an American child actor best known for voicing Linus van Pelt in several classic Peanuts animated television specials.
-
E.
Christopher Hesse
Christopher Hesse is a computer scientist and machine learning researcher known for his work at OpenAI, including co-authoring influential papers on large language models.
- 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: Christian Peppard Triple: [Elizabeth Ashley, child, Christian Peppard]
Generated description
Christian Peppard is the son of American actress Elizabeth Ashley and actor George Peppard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Peppard Target entity description: Christian Peppard is the son of American actress Elizabeth Ashley and actor George Peppard.
-
A.
David Peel
David Peel was a British actor best known for his role as the aristocratic vampire Baron Meinster in Hammer Films' 1960 horror movie "The Brides of Dracula."
-
B.
Keith Follesé
Keith Follesé is an American country music songwriter known for penning numerous hits for major Nashville artists.
-
C.
John Du Prez
John Du Prez is a British composer and musician best known for his film scores and long-running collaboration with the comedy group Monty Python.
-
D.
Christopher Shea
Christopher Shea was an American child actor best known for voicing Linus van Pelt in several classic Peanuts animated television specials.
-
E.
Christopher Hesse
Christopher Hesse is a computer scientist and machine learning researcher known for his work at OpenAI, including co-authoring influential papers on large language models.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591594a08190bf0ddd0a0c0922ba |
completed | April 27, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a15960e348190b944ee34d80cd8a8 |
completed | May 17, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_6a0a16c278188190855335930666cede |
completed | May 17, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a17a2c81481908e229ea58e61843e |
completed | May 17, 2026, 7:31 p.m. |
Created at: April 16, 2026, 6:36 p.m.