Triple
T3982771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behrens |
E86796
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Leila Behrens
Leila Behrens is a notable individual who bears the surname Behrens.
|
E406947
|
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: Leila Behrens | Statement: [Behrens, hasNotableBearer, Leila Behrens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leila Behrens Context triple: [Behrens, hasNotableBearer, Leila Behrens]
-
A.
Katia Behrens
Katia Behrens is a notable individual who bears the surname Behrens, recognized for her significance among people with that name.
-
B.
Felicia Minei Behr
Felicia Minei Behr is an American television producer best known for her influential work in daytime soap operas.
-
C.
Ellen Benrath
Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
-
D.
Lila Yacoub
Lila Yacoub is a film producer known for her work on independent features such as Noah Baumbach’s comedy-drama "Mistress America."
-
E.
Leora Watts
Leora Watts is a bold, sexually assertive landlady in Flannery O’Connor’s novel "Wise Blood," known for her coarse humor and role in challenging the protagonist’s religious obsessions.
- 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: Leila Behrens Triple: [Behrens, hasNotableBearer, Leila Behrens]
Generated description
Leila Behrens is a notable individual who bears the surname Behrens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leila Behrens Target entity description: Leila Behrens is a notable individual who bears the surname Behrens.
-
A.
Katia Behrens
Katia Behrens is a notable individual who bears the surname Behrens, recognized for her significance among people with that name.
-
B.
Felicia Minei Behr
Felicia Minei Behr is an American television producer best known for her influential work in daytime soap operas.
-
C.
Ellen Benrath
Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
-
D.
Lila Yacoub
Lila Yacoub is a film producer known for her work on independent features such as Noah Baumbach’s comedy-drama "Mistress America."
-
E.
Leora Watts
Leora Watts is a bold, sexually assertive landlady in Flannery O’Connor’s novel "Wise Blood," known for her coarse humor and role in challenging the protagonist’s religious obsessions.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9dd351c81909605bc2605f541e1 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c4a769c819097fb9bfd5890a4f9 |
completed | March 14, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69b54e582d1c8190b091449fab193ff2 |
completed | March 14, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54ec8640081908c312eaf2cc19e2b |
completed | March 14, 2026, 12:04 p.m. |
Created at: March 9, 2026, 3:33 p.m.