Triple
T16770786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Engelson |
E407588
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Engelson
Engelson is a surname most notably associated with American film producer and talent manager Trevor Engelson.
|
E1232646
|
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: Engelson | Statement: [Trevor Engelson, familyName, Engelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engelson Context triple: [Trevor Engelson, familyName, Engelson]
-
A.
Bergelson
Bergelson is a Jewish surname most notably associated with Dovid Bergelson, a prominent Yiddish writer of the early 20th century.
-
B.
Gresser
Gresser is a surname of likely German origin borne by individuals such as Lawrence Gresser.
-
C.
Engelhardt
Engelhardt is a German surname derived from the given name Engel, historically associated with people of Germanic origin.
-
D.
Abelson
Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
-
E.
Rubenfeld
Rubenfeld is a surname most notably associated with American actor and comedian Paul Reubens, best known for creating and portraying the character Pee-wee Herman.
- 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: Engelson Triple: [Trevor Engelson, familyName, Engelson]
Generated description
Engelson is a surname most notably associated with American film producer and talent manager Trevor Engelson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Engelson Target entity description: Engelson is a surname most notably associated with American film producer and talent manager Trevor Engelson.
-
A.
Bergelson
Bergelson is a Jewish surname most notably associated with Dovid Bergelson, a prominent Yiddish writer of the early 20th century.
-
B.
Gresser
Gresser is a surname of likely German origin borne by individuals such as Lawrence Gresser.
-
C.
Engelhardt
Engelhardt is a German surname derived from the given name Engel, historically associated with people of Germanic origin.
-
D.
Abelson
Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
-
E.
Rubenfeld
Rubenfeld is a surname most notably associated with American actor and comedian Paul Reubens, best known for creating and portraying the character Pee-wee Herman.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0361e5081908f58edf766ff3ce0 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a5361c3881909be0fb9b83a59993 |
completed | May 10, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_6a00a727e66481908b98e10a8bbe9747 |
completed | May 10, 2026, 3:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a7f776788190b1467c478b5c1a33 |
completed | May 10, 2026, 3:44 p.m. |
Created at: April 10, 2026, 5:21 a.m.