Triple
T7893736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZipRecruiter |
E183297
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Will Redd
Will Redd is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
|
E697410
|
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: Will Redd | Statement: [ZipRecruiter, foundedBy, Will Redd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Redd Context triple: [ZipRecruiter, foundedBy, Will Redd]
-
A.
Gene Redd
Gene Redd was an American songwriter and record producer known for his work in R&B and soul music, including co-writing the holiday classic "Please Come Home for Christmas."
-
B.
Joe Wredden
Joe Wredden is an actor known for his role in the 2013 television miniseries "The Bible."
-
C.
Stu Redman
Stu Redman is a central protagonist in Stephen King’s post-apocalyptic novel "The Stand," known as a quiet, resilient Texan who emerges as a natural leader among the plague’s survivors.
-
D.
Jeffrey Reddick
Jeffrey Reddick is an American screenwriter and producer best known for originating and writing the horror franchise "Final Destination."
-
E.
Mark Redhead
Mark Redhead is a British television and film producer known for his work on acclaimed dramas and biographical films.
- 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: Will Redd Triple: [ZipRecruiter, foundedBy, Will Redd]
Generated description
Will Redd is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Redd Target entity description: Will Redd is an entrepreneur best known as a co-founder of the online employment marketplace ZipRecruiter.
-
A.
Gene Redd
Gene Redd was an American songwriter and record producer known for his work in R&B and soul music, including co-writing the holiday classic "Please Come Home for Christmas."
-
B.
Joe Wredden
Joe Wredden is an actor known for his role in the 2013 television miniseries "The Bible."
-
C.
Stu Redman
Stu Redman is a central protagonist in Stephen King’s post-apocalyptic novel "The Stand," known as a quiet, resilient Texan who emerges as a natural leader among the plague’s survivors.
-
D.
Jeffrey Reddick
Jeffrey Reddick is an American screenwriter and producer best known for originating and writing the horror franchise "Final Destination."
-
E.
Mark Redhead
Mark Redhead is a British television and film producer known for his work on acclaimed dramas and biographical films.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a008fb88190a039fec40483ab93 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba9c2ac8190b8faf1518390dff4 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1e84fc8190b535016cb69405b4 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76a214488190b90e5db28511daa0 |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:01 p.m.