Triple
T19893529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adaptive Path |
E478090
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Lane Becker
Lane Becker is an American entrepreneur and author best known as a co-founder of the influential user experience design firm Adaptive Path.
|
E1411177
|
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: Lane Becker | Statement: [Adaptive Path, foundedBy, Lane Becker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lane Becker Context triple: [Adaptive Path, foundedBy, Lane Becker]
-
A.
Sunshine Becker
Sunshine Becker is an American singer and vocal arranger best known for her work with the post–Grateful Dead band Furthur and the a cappella group SoVoSó.
-
B.
Nicole Becker
Nicole Becker was the wife of influential French Marxist philosopher and sociologist Henri Lefebvre.
-
C.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
-
D.
Amy Yasbeck
Amy Yasbeck is an American actress best known for her comedic roles in films like "Problem Child" and for her work on television.
-
E.
Jean Becker
Jean Becker is a French film director and screenwriter known for intimate, character-driven dramas such as "One Deadly Summer" and "Conversations with My Gardener."
- 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: Lane Becker Triple: [Adaptive Path, foundedBy, Lane Becker]
Generated description
Lane Becker is an American entrepreneur and author best known as a co-founder of the influential user experience design firm Adaptive Path.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lane Becker Target entity description: Lane Becker is an American entrepreneur and author best known as a co-founder of the influential user experience design firm Adaptive Path.
-
A.
Sunshine Becker
Sunshine Becker is an American singer and vocal arranger best known for her work with the post–Grateful Dead band Furthur and the a cappella group SoVoSó.
-
B.
Nicole Becker
Nicole Becker was the wife of influential French Marxist philosopher and sociologist Henri Lefebvre.
-
C.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
-
D.
Amy Yasbeck
Amy Yasbeck is an American actress best known for her comedic roles in films like "Problem Child" and for her work on television.
-
E.
Jean Becker
Jean Becker is a French film director and screenwriter known for intimate, character-driven dramas such as "One Deadly Summer" and "Conversations with My Gardener."
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590f9eb481909104a6a404c5c331 |
completed | April 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0826f62a248190b8c6bb456ca6d519 |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a0827e191688190bc8edf89d4731989 |
completed | May 16, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08284513a88190bead3da8ba7890dd |
completed | May 16, 2026, 8:18 a.m. |
Created at: April 10, 2026, 1:52 p.m.