Triple
T15624474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renata |
E375644
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Noot Seear
Noot Seear is a Canadian fashion model and actress best known for her work in high-profile fashion campaigns and her role in the film "The Twilight Saga: New Moon."
|
E1167725
|
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: Noot Seear | Statement: [Renata, portrayedBy, Noot Seear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noot Seear Context triple: [Renata, portrayedBy, Noot Seear]
-
A.
Baram Kayan
Baram Kayan is a Kayanic Austronesian language variety spoken by the Kayan people of Borneo.
-
B.
Seereer
Seereer is the endonym for the Serer language, a Niger-Congo language spoken primarily by the Serer people of Senegal, the Gambia, and Mauritania.
-
C.
Balaesang
Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
-
D.
Naro Moru
Naro Moru is a small town in central Kenya commonly used as a base for treks and climbs on Mount Kenya.
-
E.
Kap Situveema
Kap Situveema is a traditional Sri Lankan ritual marking the ceremonial planting of a sacred log to inaugurate and invoke blessings for the Esala Perahera festival.
- 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: Noot Seear Triple: [Renata, portrayedBy, Noot Seear]
Generated description
Noot Seear is a Canadian fashion model and actress best known for her work in high-profile fashion campaigns and her role in the film "The Twilight Saga: New Moon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noot Seear Target entity description: Noot Seear is a Canadian fashion model and actress best known for her work in high-profile fashion campaigns and her role in the film "The Twilight Saga: New Moon."
-
A.
Baram Kayan
Baram Kayan is a Kayanic Austronesian language variety spoken by the Kayan people of Borneo.
-
B.
Seereer
Seereer is the endonym for the Serer language, a Niger-Congo language spoken primarily by the Serer people of Senegal, the Gambia, and Mauritania.
-
C.
Balaesang
Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
-
D.
Naro Moru
Naro Moru is a small town in central Kenya commonly used as a base for treks and climbs on Mount Kenya.
-
E.
Kap Situveema
Kap Situveema is a traditional Sri Lankan ritual marking the ceremonial planting of a sacred log to inaugurate and invoke blessings for the Esala Perahera festival.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3f65dc8190ac94db1d4d53d77f |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff60188df48190a1cc891757a795d0 |
completed | May 9, 2026, 4:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff60938ef081908cd88cf8242bc785 |
completed | May 9, 2026, 4:28 p.m. |
Created at: April 10, 2026, 4:14 a.m.