Triple
T8877741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nedrick Young |
E211329
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nedrick
Nedrick is the given name of Nedrick Young, an American actor and Academy Award–winning screenwriter who was blacklisted during the Hollywood Red Scare.
|
E764157
|
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: Nedrick | Statement: [Nedrick Young, givenName, Nedrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nedrick Context triple: [Nedrick Young, givenName, Nedrick]
-
A.
Ryen
Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
-
B.
Garon
Garon is the middle name of Jesse Garon Presley, the stillborn identical twin brother of Elvis Presley.
-
C.
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
D.
Nelion
Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
-
E.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
- 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: Nedrick Triple: [Nedrick Young, givenName, Nedrick]
Generated description
Nedrick is the given name of Nedrick Young, an American actor and Academy Award–winning screenwriter who was blacklisted during the Hollywood Red Scare.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nedrick Target entity description: Nedrick is the given name of Nedrick Young, an American actor and Academy Award–winning screenwriter who was blacklisted during the Hollywood Red Scare.
-
A.
Ryen
Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
-
B.
Garon
Garon is the middle name of Jesse Garon Presley, the stillborn identical twin brother of Elvis Presley.
-
C.
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
D.
Nelion
Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
-
E.
Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61496870819097c55c73aca62aac |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabaf57b88190a71d5303767ab517 |
completed | April 3, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69cfac9c743c8190a26f753111f07281 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad54cf5c81908558fd4c21f2f3b6 |
completed | April 3, 2026, 12:06 p.m. |
Created at: March 30, 2026, 6:52 p.m.