Triple
T14610237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kylie |
E342939
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kylie Gillies
Kylie Gillies is an Australian television presenter best known as the longtime co-host of the Seven Network’s morning program The Morning Show.
|
E1111479
|
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: Kylie Gillies | Statement: [Kylie, hasNotableBearer, Kylie Gillies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kylie Gillies Context triple: [Kylie, hasNotableBearer, Kylie Gillies]
-
A.
Kylie
Kylie is a popular given name notably borne by American media personality and businesswoman Kylie Jenner.
-
B.
Kylie Minogue
Kylie Minogue is an Australian pop singer, songwriter, and actress renowned for her decades-long music career and status as an international gay icon.
-
C.
Kylie Bunbury
Kylie Bunbury is a Canadian-American actress best known for her roles in television series such as "Pitch," "Big Sky," and "Under the Dome."
-
D.
Kylie Rogers
Kylie Rogers is an American actress best known for her lead role as the young girl in the faith-based drama film "Miracles from Heaven."
-
E.
Keke Wyatt
Keke Wyatt is an American R&B singer and television personality known for her powerful vocals, emotional ballads, and appearances on reality shows like "R&B Divas."
- 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: Kylie Gillies Triple: [Kylie, hasNotableBearer, Kylie Gillies]
Generated description
Kylie Gillies is an Australian television presenter best known as the longtime co-host of the Seven Network’s morning program The Morning Show.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kylie Gillies Target entity description: Kylie Gillies is an Australian television presenter best known as the longtime co-host of the Seven Network’s morning program The Morning Show.
-
A.
Kylie
Kylie is a popular given name notably borne by American media personality and businesswoman Kylie Jenner.
-
B.
Kylie Minogue
Kylie Minogue is an Australian pop singer, songwriter, and actress renowned for her decades-long music career and status as an international gay icon.
-
C.
Kylie Bunbury
Kylie Bunbury is a Canadian-American actress best known for her roles in television series such as "Pitch," "Big Sky," and "Under the Dome."
-
D.
Kylie Rogers
Kylie Rogers is an American actress best known for her lead role as the young girl in the faith-based drama film "Miracles from Heaven."
-
E.
Keke Wyatt
Keke Wyatt is an American R&B singer and television personality known for her powerful vocals, emotional ballads, and appearances on reality shows like "R&B Divas."
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c9a6748190878efa4970ce2b04 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd73bf8188190b3d731dd82b90376 |
completed | May 8, 2026, 12:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd7bd20748190b9145ef14ce2759b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:25 a.m.