Triple
T8268601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Probst |
E193362
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Probst
Probst is a surname most prominently associated with Jeff Probst, the longtime host and executive producer of the reality television show "Survivor."
|
E722753
|
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: Probst | Statement: [Jeff Probst, familyName, Probst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Probst Context triple: [Jeff Probst, familyName, Probst]
-
A.
Bricklebaum
Bricklebaum is a relentlessly cheerful and friendly Whoville resident who tries to befriend the Grinch in the 2018 animated adaptation of Dr. Seuss's classic story.
-
B.
Proberta
Proberta is a small unincorporated community located in Tehama County in Northern California.
-
C.
Hagey
Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
-
D.
Briscoe
Briscoe is a surname most notably associated with Dolph Briscoe, a prominent American rancher and politician who served as governor of Texas.
-
E.
Sprecher
Sprecher is a surname most prominently associated with Jeffrey Sprecher, the American businessman and CEO of Intercontinental Exchange and chairman of the New York Stock Exchange.
- 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: Probst Triple: [Jeff Probst, familyName, Probst]
Generated description
Probst is a surname most prominently associated with Jeff Probst, the longtime host and executive producer of the reality television show "Survivor."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Probst Target entity description: Probst is a surname most prominently associated with Jeff Probst, the longtime host and executive producer of the reality television show "Survivor."
-
A.
Bricklebaum
Bricklebaum is a relentlessly cheerful and friendly Whoville resident who tries to befriend the Grinch in the 2018 animated adaptation of Dr. Seuss's classic story.
-
B.
Proberta
Proberta is a small unincorporated community located in Tehama County in Northern California.
-
C.
Hagey
Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
-
D.
Briscoe
Briscoe is a surname most notably associated with Dolph Briscoe, a prominent American rancher and politician who served as governor of Texas.
-
E.
Sprecher
Sprecher is a surname most prominently associated with Jeffrey Sprecher, the American businessman and CEO of Intercontinental Exchange and chairman of the New York Stock Exchange.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb795127ac81908196008f5579f83f |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd683d04e081908b0ce81e866f0311 |
completed | April 1, 2026, 6:47 p.m. |
| NEDg | Description generation | batch_69cd6c21172481908dc04b85ee4370a8 |
completed | April 1, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7df568788190a5a219baa65a6a19 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:50 p.m.