Triple
T5416988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fly Me to the Moon |
E121155
|
entity |
| Predicate | notablePerformer |
P17435
|
FINISHED |
| Object |
Olivia Ong
Olivia Ong is a Singaporean singer and actress best known for her smooth bossa nova and jazz-influenced vocal style.
|
E518953
|
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: Olivia Ong | Statement: [Fly Me to the Moon, notablePerformer, Olivia Ong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivia Ong Context triple: [Fly Me to the Moon, notablePerformer, Olivia Ong]
-
A.
Olivia Chen
Olivia Chen is the spouse of Victor Wong.
-
B.
Christina Chong
Christina Chong is a British actress best known for her role as La’an Noonien-Singh in the television series "Star Trek: Strange New Worlds."
-
C.
Angela Zhou
Angela Zhou is a Chinese-born New Zealand actress best known for her role in the American Western television series "Hell on Wheels."
-
D.
Leanne Wong
Leanne Wong is an American artistic gymnast and Olympian known for competing for the University of Florida Gators and representing the United States at major international competitions.
-
E.
Melissa Chiu
Melissa Chiu is an Australian-born art historian and curator known for her leadership roles in major contemporary art institutions, including directing the Hirshhorn Museum and Sculpture Garden in Washington, D.C.
- 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: Olivia Ong Triple: [Fly Me to the Moon, notablePerformer, Olivia Ong]
Generated description
Olivia Ong is a Singaporean singer and actress best known for her smooth bossa nova and jazz-influenced vocal style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olivia Ong Target entity description: Olivia Ong is a Singaporean singer and actress best known for her smooth bossa nova and jazz-influenced vocal style.
-
A.
Olivia Chen
Olivia Chen is the spouse of Victor Wong.
-
B.
Christina Chong
Christina Chong is a British actress best known for her role as La’an Noonien-Singh in the television series "Star Trek: Strange New Worlds."
-
C.
Angela Zhou
Angela Zhou is a Chinese-born New Zealand actress best known for her role in the American Western television series "Hell on Wheels."
-
D.
Leanne Wong
Leanne Wong is an American artistic gymnast and Olympian known for competing for the University of Florida Gators and representing the United States at major international competitions.
-
E.
Melissa Chiu
Melissa Chiu is an Australian-born art historian and curator known for her leadership roles in major contemporary art institutions, including directing the Hirshhorn Museum and Sculpture Garden in Washington, D.C.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87bff75881909bdfd2cdf7ff5657 |
completed | March 20, 2026, 5:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3aaaaae0819090db7071e9a5847a |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3b4ab72c81908a4a80681fbd3fba |
completed | March 22, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3be530188190bde63a481013d24e |
completed | March 22, 2026, 12:46 a.m. |
Created at: March 20, 2026, 2:05 p.m.