Triple
T10896620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peng Ming-min |
E257326
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ming-min
Ming-min is a given name most notably borne by Peng Ming-min, a prominent Taiwanese democracy activist, scholar, and politician.
|
E892903
|
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: Ming-min | Statement: [Peng Ming-min, givenName, Ming-min]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ming-min Context triple: [Peng Ming-min, givenName, Ming-min]
-
A.
Shaoqi
Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
-
B.
Minfeng
Minfeng is a small oasis town and county in southwestern Xinjiang, China, situated on the southern edge of the Taklamakan Desert along the historic Silk Road.
-
C.
Biao Min
Biao Min is a Hmong-Mien language spoken by the Biao ethnic group in parts of southern China.
-
D.
Mei Mei
Mei Mei is a confident and ribbon-dancing panda who serves as a prominent new character and love interest in the animated film "Kung Fu Panda 3."
-
E.
Jingjing
Jingjing is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a giant panda symbolizing happiness and prosperity.
- 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: Ming-min Triple: [Peng Ming-min, givenName, Ming-min]
Generated description
Ming-min is a given name most notably borne by Peng Ming-min, a prominent Taiwanese democracy activist, scholar, and politician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ming-min Target entity description: Ming-min is a given name most notably borne by Peng Ming-min, a prominent Taiwanese democracy activist, scholar, and politician.
-
A.
Shaoqi
Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
-
B.
Minfeng
Minfeng is a small oasis town and county in southwestern Xinjiang, China, situated on the southern edge of the Taklamakan Desert along the historic Silk Road.
-
C.
Biao Min
Biao Min is a Hmong-Mien language spoken by the Biao ethnic group in parts of southern China.
-
D.
Mei Mei
Mei Mei is a confident and ribbon-dancing panda who serves as a prominent new character and love interest in the animated film "Kung Fu Panda 3."
-
E.
Jingjing
Jingjing is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a giant panda symbolizing happiness and prosperity.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d02e4c88190b8286078e90bf913 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15519e620819090e492861de6a567 |
completed | April 16, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69e17d3331788190a9ee03fc4c6ca191 |
completed | April 17, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1ff5b3d488190a545bee24381d01e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 8, 2026, 9:21 p.m.