Triple
T251989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xanana Gusmão |
E5168
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Xanana
Xanana is the widely used nickname of Xanana Gusmão, the former resistance leader and first president of an independent Timor-Leste.
|
E32225
|
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: Xanana | Statement: [Xanana Gusmão, nickname, Xanana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xanana Context triple: [Xanana Gusmão, nickname, Xanana]
-
A.
Bauta
Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
-
B.
Benito
Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
-
C.
Koba
Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
-
D.
Jaruco
Jaruco is a municipality in western Cuba known for its historic town and the nearby Jaruco Escalante hills and parklands.
-
E.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
- 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: Xanana Triple: [Xanana Gusmão, nickname, Xanana]
Generated description
Xanana is the widely used nickname of Xanana Gusmão, the former resistance leader and first president of an independent Timor-Leste.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xanana Target entity description: Xanana is the widely used nickname of Xanana Gusmão, the former resistance leader and first president of an independent Timor-Leste.
-
A.
Bauta
Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
-
B.
Benito
Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
-
C.
Koba
Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
-
D.
Jaruco
Jaruco is a municipality in western Cuba known for its historic town and the nearby Jaruco Escalante hills and parklands.
-
E.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d39eb3881909f435043c8697f13 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a37374e97c819090a8921d5c27d1ab |
completed | Feb. 28, 2026, 11 p.m. |
| NEDg | Description generation | batch_69a37424ca448190aeb43c7922fbd1dd |
completed | Feb. 28, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3747b0bf481908b197614d9f2d04c |
completed | Feb. 28, 2026, 11:04 p.m. |
Created at: Feb. 28, 2026, 2:54 a.m.