Triple
T9419009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teresa Palmer |
E227101
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Prairie Moon Palmer
Prairie Moon Palmer is the daughter of Australian actress and model Teresa Palmer.
|
E798374
|
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: Prairie Moon Palmer | Statement: [Teresa Palmer, hasChild, Prairie Moon Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prairie Moon Palmer Context triple: [Teresa Palmer, hasChild, Prairie Moon Palmer]
-
A.
Mary Field
Mary Field was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
-
B.
Julia Hoyt
Julia Hoyt was an American stage and silent film actress and socialite active in the early 20th century.
-
C.
Viva Laughlin
Viva Laughlin is a short-lived American musical drama television series, adapted from the British show "Viva Blackpool," that blended crime, family drama, and song-and-dance numbers.
-
D.
Mary Wheeler
Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
-
E.
Birdee Pruitt
Birdee Pruitt is the small-town Texas woman, played by Sandra Bullock in the film "Hope Floats," who must rebuild her life and self-worth after a humiliating, nationally televised divorce.
- 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: Prairie Moon Palmer Triple: [Teresa Palmer, hasChild, Prairie Moon Palmer]
Generated description
Prairie Moon Palmer is the daughter of Australian actress and model Teresa Palmer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prairie Moon Palmer Target entity description: Prairie Moon Palmer is the daughter of Australian actress and model Teresa Palmer.
-
A.
Mary Field
Mary Field was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
-
B.
Julia Hoyt
Julia Hoyt was an American stage and silent film actress and socialite active in the early 20th century.
-
C.
Viva Laughlin
Viva Laughlin is a short-lived American musical drama television series, adapted from the British show "Viva Blackpool," that blended crime, family drama, and song-and-dance numbers.
-
D.
Mary Wheeler
Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
-
E.
Birdee Pruitt
Birdee Pruitt is the small-town Texas woman, played by Sandra Bullock in the film "Hope Floats," who must rebuild her life and self-worth after a humiliating, nationally televised divorce.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c23c65081908d1009c26be66533 |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107c4d73881909ac38781fe90b1da |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1085a980c8190b4c6d811b07ab180 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1093f440481909aa27287019191ac |
completed | April 4, 2026, 12:51 p.m. |
Created at: March 30, 2026, 7:48 p.m.