Triple
T8144822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Trong Tan |
E190181
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Trong Tan
Trong Tan is the given name of Vietnamese general Lê Trọng Tấn, a prominent military leader of the Vietnam People's Army.
|
E713106
|
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: Trong Tan | Statement: [Le Trong Tan, givenName, Trong Tan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trong Tan Context triple: [Le Trong Tan, givenName, Trong Tan]
-
A.
Tan Tan Bo
Tan Tan Bo is a psychedelic, cartoonish monster painting by Japanese artist Takashi Murakami that exemplifies his Superflat style and fusion of pop culture with fine art.
-
B.
Tali di Taraan
Tali di Taraan is a notable literary work by Pakistani poet Ghulam Mustafa Tabassum, recognized for its contribution to Punjabi/Urdu poetry.
-
C.
Tanaeang
Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
D.
Tebunginako
Tebunginako is a village settlement on the atoll of Abaiang in the island nation of Kiribati, known for being severely affected by coastal erosion and sea-level rise.
-
E.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
- 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: Trong Tan Triple: [Le Trong Tan, givenName, Trong Tan]
Generated description
Trong Tan is the given name of Vietnamese general Lê Trọng Tấn, a prominent military leader of the Vietnam People's Army.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trong Tan Target entity description: Trong Tan is the given name of Vietnamese general Lê Trọng Tấn, a prominent military leader of the Vietnam People's Army.
-
A.
Tan Tan Bo
Tan Tan Bo is a psychedelic, cartoonish monster painting by Japanese artist Takashi Murakami that exemplifies his Superflat style and fusion of pop culture with fine art.
-
B.
Tali di Taraan
Tali di Taraan is a notable literary work by Pakistani poet Ghulam Mustafa Tabassum, recognized for its contribution to Punjabi/Urdu poetry.
-
C.
Tanaeang
Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
D.
Tebunginako
Tebunginako is a village settlement on the atoll of Abaiang in the island nation of Kiribati, known for being severely affected by coastal erosion and sea-level rise.
-
E.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4445f1948190b8d319b60dd47f65 |
completed | March 31, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc94b0fc0481909a21f42364a92158 |
completed | April 1, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_69cc963fe2f8819098ad6a726e226189 |
completed | April 1, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc977c9bf4819081c4df682e4cdf1e |
completed | April 1, 2026, 3:56 a.m. |
Created at: March 30, 2026, 5:36 p.m.