Triple
T20541615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reilly Marie Anspaugh |
E504349
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Anspaugh
Anspaugh is a surname most notably associated with individuals in American entertainment and sports, including directors, actors, and athletes.
|
E1436779
|
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: Anspaugh | Statement: [Reilly Marie Anspaugh, familyName, Anspaugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anspaugh Context triple: [Reilly Marie Anspaugh, familyName, Anspaugh]
-
A.
Klepper
Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
-
B.
Hendrickson
Hendrickson is a surname of likely English origin, commonly used as a variant of the name Hendricks.
-
C.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
D.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
-
E.
Farris
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
- 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: Anspaugh Triple: [Reilly Marie Anspaugh, familyName, Anspaugh]
Generated description
Anspaugh is a surname most notably associated with individuals in American entertainment and sports, including directors, actors, and athletes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anspaugh Target entity description: Anspaugh is a surname most notably associated with individuals in American entertainment and sports, including directors, actors, and athletes.
-
A.
Klepper
Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
-
B.
Hendrickson
Hendrickson is a surname of likely English origin, commonly used as a variant of the name Hendricks.
-
C.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
D.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
-
E.
Farris
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a292dd1c8190b5c3031f3b44eb52 |
completed | April 20, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a56b9b3081908786edd7c6867c98 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a6439bc08190a2df7f1f7b24fadb |
completed | May 16, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a70118dc8190bdf07bcc3342340e |
completed | May 16, 2026, 5:18 p.m. |
Created at: April 16, 2026, 11:37 a.m.