Triple
T5641206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorraine Bracco |
E124268
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Stella Keitel
Stella Keitel is the daughter of actors Lorraine Bracco and Harvey Keitel, known for her occasional appearances in film and television.
|
E536529
|
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: Stella Keitel | Statement: [Lorraine Bracco, hasChild, Stella Keitel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Keitel Context triple: [Lorraine Bracco, hasChild, Stella Keitel]
-
A.
Lila Schwarzenberg
Lila Schwarzenberg is an Austrian journalist, philanthropist, and former Czech countess known for her cultural and charitable work in Europe.
-
B.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
-
C.
Mischa Auer
Mischa Auer was a Russian-born American character actor best known for his eccentric comedic roles in Hollywood films of the 1930s and 1940s.
-
D.
Lilli Schwarzkopf
Lilli Schwarzkopf is a German heptathlete who won the silver medal at the 2012 London Olympic Games.
-
E.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
- 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: Stella Keitel Triple: [Lorraine Bracco, hasChild, Stella Keitel]
Generated description
Stella Keitel is the daughter of actors Lorraine Bracco and Harvey Keitel, known for her occasional appearances in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stella Keitel Target entity description: Stella Keitel is the daughter of actors Lorraine Bracco and Harvey Keitel, known for her occasional appearances in film and television.
-
A.
Lila Schwarzenberg
Lila Schwarzenberg is an Austrian journalist, philanthropist, and former Czech countess known for her cultural and charitable work in Europe.
-
B.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
-
C.
Mischa Auer
Mischa Auer was a Russian-born American character actor best known for his eccentric comedic roles in Hollywood films of the 1930s and 1940s.
-
D.
Lilli Schwarzkopf
Lilli Schwarzkopf is a German heptathlete who won the silver medal at the 2012 London Olympic Games.
-
E.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02286a14481908703ec1741343b76 |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d780e988190af0efdc6cc17b72e |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04e8b548c81908adaf54bbe25af35 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f4c1e34819093e60870c87c8d99 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:41 p.m.