Triple
T5830457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planet Earth III |
E129331
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Sara Barone
Sara Barone is a composer best known for her work on the nature documentary series Planet Earth III.
|
E562851
|
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: Sara Barone | Statement: [Planet Earth III, composer, Sara Barone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Barone Context triple: [Planet Earth III, composer, Sara Barone]
-
A.
Sara Tancredi
Sara Tancredi is a compassionate prison doctor who becomes a crucial ally and love interest to Michael Scofield in the television series "Prison Break."
-
B.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
C.
Sasha Barrese
Sasha Barrese is an American actress best known for playing Doug’s fiancée Tracy in the comedy film "The Hangover" and its sequels.
-
D.
Sara Shane
Sara Shane was an American film and television actress best known for her roles in 1950s Hollywood dramas and adventure films.
-
E.
Jenifer Bartoli
Jenifer Bartoli is a French pop singer and actress best known as the winner of the first season of the TV talent show Star Academy and for her successful music career in the Francophone world.
- 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: Sara Barone Triple: [Planet Earth III, composer, Sara Barone]
Generated description
Sara Barone is a composer best known for her work on the nature documentary series Planet Earth III.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Barone Target entity description: Sara Barone is a composer best known for her work on the nature documentary series Planet Earth III.
-
A.
Sara Tancredi
Sara Tancredi is a compassionate prison doctor who becomes a crucial ally and love interest to Michael Scofield in the television series "Prison Break."
-
B.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
C.
Sasha Barrese
Sasha Barrese is an American actress best known for playing Doug’s fiancée Tracy in the comedy film "The Hangover" and its sequels.
-
D.
Sara Shane
Sara Shane was an American film and television actress best known for her roles in 1950s Hollywood dramas and adventure films.
-
E.
Jenifer Bartoli
Jenifer Bartoli is a French pop singer and actress best known as the winner of the first season of the TV talent show Star Academy and for her successful music career in the Francophone world.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346ac31c8190bbd28444f75da875 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c107ee88fc8190a6f633ff168b51ed |
completed | March 23, 2026, 9:29 a.m. |
| NEDg | Description generation | batch_69c1090a7bac8190b5b9e003659b4b34 |
completed | March 23, 2026, 9:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10d5102348190a9ec7421b1410a99 |
completed | March 23, 2026, 9:52 a.m. |
Created at: March 22, 2026, 3:54 p.m.