Triple
T1358271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammad Hatta |
E29039
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Bung Hatta
Bung Hatta is the affectionate nickname of Mohammad Hatta, the Indonesian independence leader and first vice president of Indonesia.
|
E155658
|
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: Bung Hatta | Statement: [Mohammad Hatta, alsoKnownAs, Bung Hatta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bung Hatta Context triple: [Mohammad Hatta, alsoKnownAs, Bung Hatta]
-
A.
Wad Madani
Wad Madani is a major city in east-central Sudan and the capital of Al Jazirah state, serving as an important commercial and agricultural hub along the Blue Nile.
-
B.
Alaeddin Hill
Alaeddin Hill is a prominent historic mound and park in central Konya, Turkey, known for its ancient citadel ruins and panoramic views of the city.
-
C.
Butrus
Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
-
D.
Kel Ajjer
Kel Ajjer is a prominent Tuareg confederation traditionally inhabiting the central Sahara region spanning parts of present-day Algeria and Libya.
-
E.
Abu Madyan
Abu Madyan was a prominent 12th-century Andalusian-Maghrebi Sufi master and spiritual teacher whose doctrines deeply shaped later Islamic mysticism.
- 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: Bung Hatta Triple: [Mohammad Hatta, alsoKnownAs, Bung Hatta]
Generated description
Bung Hatta is the affectionate nickname of Mohammad Hatta, the Indonesian independence leader and first vice president of Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bung Hatta Target entity description: Bung Hatta is the affectionate nickname of Mohammad Hatta, the Indonesian independence leader and first vice president of Indonesia.
-
A.
Wad Madani
Wad Madani is a major city in east-central Sudan and the capital of Al Jazirah state, serving as an important commercial and agricultural hub along the Blue Nile.
-
B.
Alaeddin Hill
Alaeddin Hill is a prominent historic mound and park in central Konya, Turkey, known for its ancient citadel ruins and panoramic views of the city.
-
C.
Butrus
Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
-
D.
Kel Ajjer
Kel Ajjer is a prominent Tuareg confederation traditionally inhabiting the central Sahara region spanning parts of present-day Algeria and Libya.
-
E.
Abu Madyan
Abu Madyan was a prominent 12th-century Andalusian-Maghrebi Sufi master and spiritual teacher whose doctrines deeply shaped later Islamic mysticism.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c28f5b988190b0be4504eabb919d |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce701a84819094815ab6e8383b76 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf141c3481909ae5ea849aee7604 |
completed | March 8, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accfba7fb88190801803f2ee67afe8 |
completed | March 8, 2026, 1:24 a.m. |
Created at: March 1, 2026, 7:56 p.m.