Triple
T16944554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Slater |
E411034
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Hannah Nika Watzke
Hannah Nika Watzke is the daughter of American actress and singer-songwriter Helen Slater.
|
E1242092
|
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: Hannah Nika Watzke | Statement: [Helen Slater, child, Hannah Nika Watzke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah Nika Watzke Context triple: [Helen Slater, child, Hannah Nika Watzke]
-
A.
Hannah Kahnwald
Hannah Kahnwald is a central character in the German sci-fi thriller series "Dark," known for her complex relationships, manipulative behavior, and pivotal role across the show's intertwined timelines.
-
B.
Hannah Berner
Hannah Berner is an American comedian, podcaster, and former cast member of Bravo’s reality series "Summer House."
-
C.
Alexandra Henkel
Alexandra Henkel is known as the wife of British actor Adeel Akhtar.
-
D.
Hannah Ackermann
Hannah Ackermann was the wife of the prominent German-born British publisher and printseller Rudolf Ackermann, associated with his social and family life in early 19th-century London.
-
E.
Hanna Schmitz
Hanna Schmitz is a central, morally complex character in Bernhard Schlink’s novel *The Reader*, known for her secret illiteracy and her involvement in Nazi war crimes.
- 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: Hannah Nika Watzke Triple: [Helen Slater, child, Hannah Nika Watzke]
Generated description
Hannah Nika Watzke is the daughter of American actress and singer-songwriter Helen Slater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hannah Nika Watzke Target entity description: Hannah Nika Watzke is the daughter of American actress and singer-songwriter Helen Slater.
-
A.
Hannah Kahnwald
Hannah Kahnwald is a central character in the German sci-fi thriller series "Dark," known for her complex relationships, manipulative behavior, and pivotal role across the show's intertwined timelines.
-
B.
Hannah Berner
Hannah Berner is an American comedian, podcaster, and former cast member of Bravo’s reality series "Summer House."
-
C.
Alexandra Henkel
Alexandra Henkel is known as the wife of British actor Adeel Akhtar.
-
D.
Hannah Ackermann
Hannah Ackermann was the wife of the prominent German-born British publisher and printseller Rudolf Ackermann, associated with his social and family life in early 19th-century London.
-
E.
Hanna Schmitz
Hanna Schmitz is a central, morally complex character in Bernhard Schlink’s novel *The Reader*, known for her secret illiteracy and her involvement in Nazi war crimes.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb08da88190b07c32652bbc1534 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfeca4208190a3b9270869063d3d |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0b13f1c819091f3f8b966e36214 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d1ad6b7081908be76d70ad9e2075 |
completed | May 10, 2026, 6:42 p.m. |
Created at: April 10, 2026, 5:31 a.m.