Triple
T3686988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daryl Hannah |
E78247
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Page Hannah
Page Hannah is an American actress and producer known for her work in film and television during the 1980s and 1990s.
|
E380354
|
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: Page Hannah | Statement: [Daryl Hannah, sibling, Page Hannah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Page Hannah Context triple: [Daryl Hannah, sibling, Page Hannah]
-
A.
Gale Page
Gale Page was an American film and television actress best known for her roles in 1930s and 1940s Hollywood dramas.
-
B.
Robin Page
Robin Page is a notable individual whose name is associated with public recognition or significance in their field.
-
C.
Hannah G. Kaiser
Hannah G. Kaiser was the wife of American diplomat Philip M. Kaiser and a partner in his public and political life.
-
D.
Mary Wheeler
Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
-
E.
Elizabeth Hanks
Elizabeth Hanks is an American actress and writer, known for her supporting roles in films like "Forrest Gump" and for being the daughter of actor Tom Hanks.
- 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: Page Hannah Triple: [Daryl Hannah, sibling, Page Hannah]
Generated description
Page Hannah is an American actress and producer known for her work in film and television during the 1980s and 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Page Hannah Target entity description: Page Hannah is an American actress and producer known for her work in film and television during the 1980s and 1990s.
-
A.
Gale Page
Gale Page was an American film and television actress best known for her roles in 1930s and 1940s Hollywood dramas.
-
B.
Robin Page
Robin Page is a notable individual whose name is associated with public recognition or significance in their field.
-
C.
Hannah G. Kaiser
Hannah G. Kaiser was the wife of American diplomat Philip M. Kaiser and a partner in his public and political life.
-
D.
Mary Wheeler
Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
-
E.
Elizabeth Hanks
Elizabeth Hanks is an American actress and writer, known for her supporting roles in films like "Forrest Gump" and for being the daughter of actor Tom Hanks.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c7e2bc81909356c8b0ed90feed |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3c10f6481908feed99cddc56d47 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c7bd861c8190a1a7887f6d7fd6de |
completed | March 14, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c83085488190a48c6e4786d275e2 |
completed | March 14, 2026, 2:30 a.m. |
Created at: March 8, 2026, 3:26 p.m.