Triple
T18548885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Stoppelman |
E453313
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stoppelman
Stoppelman is the surname of Jeremy Stoppelman, the American entrepreneur best known as the co-founder and longtime CEO of Yelp.
|
E1330606
|
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: Stoppelman | Statement: [Jeremy Stoppelman, familyName, Stoppelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stoppelman Context triple: [Jeremy Stoppelman, familyName, Stoppelman]
-
A.
Obertor
Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
-
B.
Eckstein
Eckstein is a German-origin surname borne by various notable individuals across fields such as sports, academia, and the arts.
-
C.
Stahelski
Stahelski is the surname of Chad Stahelski, the American stuntman-turned-film director best known for helming the John Wick action film series.
-
D.
Gessler
Gessler is a fictional character best known as the tyrannical Austrian bailiff and antagonist in the William Tell legend.
-
E.
Stoll
Stoll is a surname most prominently associated with American actor Corey Stoll, known for his roles in film and television such as "House of Cards" and "Ant-Man."
- 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: Stoppelman Triple: [Jeremy Stoppelman, familyName, Stoppelman]
Generated description
Stoppelman is the surname of Jeremy Stoppelman, the American entrepreneur best known as the co-founder and longtime CEO of Yelp.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stoppelman Target entity description: Stoppelman is the surname of Jeremy Stoppelman, the American entrepreneur best known as the co-founder and longtime CEO of Yelp.
-
A.
Obertor
Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
-
B.
Eckstein
Eckstein is a German-origin surname borne by various notable individuals across fields such as sports, academia, and the arts.
-
C.
Stahelski
Stahelski is the surname of Chad Stahelski, the American stuntman-turned-film director best known for helming the John Wick action film series.
-
D.
Gessler
Gessler is a fictional character best known as the tyrannical Austrian bailiff and antagonist in the William Tell legend.
-
E.
Stoll
Stoll is a surname most prominently associated with American actor Corey Stoll, known for his roles in film and television such as "House of Cards" and "Ant-Man."
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534be2298819095f637065fc2724e |
completed | April 19, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049add8acc8190b00aeae2555ca593 |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049bf32520819091b9deaba331f9ca |
completed | May 13, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049ccb59108190870c11bd11949f3b |
completed | May 13, 2026, 3:46 p.m. |
Created at: April 10, 2026, 11:38 a.m.