Triple
T1520960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xanana Gusmão |
E32225
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kay Rala |
E47623
|
NE FINISHED |
How this triple was built (2 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 Rala | Statement: [Xanana Gusmão, givenName, Kay Rala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Rala Context triple: [Xanana Gusmão, givenName, Kay Rala]
-
A.
Kay Rala
chosen
Kay Rala is the honorific title used for Xanana Gusmão, a prominent East Timorese independence leader and statesman who served as the country’s first president and later as prime minister.
-
B.
Lara Lea Yunaska
Lara Lea Yunaska is an American television producer and political figure best known as Lara Trump, the wife of Eric Trump and a prominent surrogate and adviser in Donald Trump’s political campaigns.
-
C.
Christine Karim
Christine Karim is the mother of YouTube co-founder Jawed Karim.
-
D.
Kathleen Blanco
Kathleen Blanco was an American Democratic politician who served as the first female governor of Louisiana, leading the state during the devastation of Hurricane Katrina.
-
E.
Kori Rae
Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907f071848190a5fb8fa1b97ef4de |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad294d01c48190bb2f49ad4f1b0a1a |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:26 p.m.