Triple
T9655239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay Olok Gusmão |
E233432
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kay Olok
Kay Olok is an individual whose full name is Kay Olok Gusmão, likely of Lusophone or Timorese background.
|
E812451
|
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: Kay Olok | Statement: [Kay Olok Gusmão, givenName, Kay Olok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Olok Context triple: [Kay Olok Gusmão, givenName, Kay Olok]
-
A.
Koloa Talake
Koloa Talake is a Tuvaluan politician who served as the country's prime minister in the early 2000s.
-
B.
Tamally Ma'ak
"Tamally Ma'ak" is a hugely popular Arabic pop love song by Egyptian singer Amr Diab, widely regarded as one of his signature hits across the Middle East and beyond.
-
C.
Katiyana Mauga
Katiyana Mauga is a former University of Arizona power-hitting softball star known for her prolific home run totals and All-American collegiate career.
-
D.
Kalani Sitake
Kalani Sitake is an American football coach best known as the head coach of Brigham Young University's BYU Cougars football program.
-
E.
Tika Kunama
Tika Kunama is a dialectal variety of the Kunama language spoken by segments of the Kunama people in the Horn of Africa.
- 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: Kay Olok Triple: [Kay Olok Gusmão, givenName, Kay Olok]
Generated description
Kay Olok is an individual whose full name is Kay Olok Gusmão, likely of Lusophone or Timorese background.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kay Olok Target entity description: Kay Olok is an individual whose full name is Kay Olok Gusmão, likely of Lusophone or Timorese background.
-
A.
Koloa Talake
Koloa Talake is a Tuvaluan politician who served as the country's prime minister in the early 2000s.
-
B.
Tamally Ma'ak
"Tamally Ma'ak" is a hugely popular Arabic pop love song by Egyptian singer Amr Diab, widely regarded as one of his signature hits across the Middle East and beyond.
-
C.
Katiyana Mauga
Katiyana Mauga is a former University of Arizona power-hitting softball star known for her prolific home run totals and All-American collegiate career.
-
D.
Kalani Sitake
Kalani Sitake is an American football coach best known as the head coach of Brigham Young University's BYU Cougars football program.
-
E.
Tika Kunama
Tika Kunama is a dialectal variety of the Kunama language spoken by segments of the Kunama people in the Horn of Africa.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bdbdd948190a4545a5df0f7af77 |
completed | April 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18270dee481909c8d2de1fafdaf5b |
completed | April 4, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d18324756c819089eb7edc107ed8b2 |
completed | April 4, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1856b88908190a787765e1d8f001f |
completed | April 4, 2026, 9:40 p.m. |
Created at: March 30, 2026, 8:13 p.m.