Triple
T10863109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Lu |
E256456
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Max Lu |
E256456
|
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: Max Lu | Statement: [Max Lu, name, Max Lu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Lu Context triple: [Max Lu, name, Max Lu]
-
A.
Max Lu
chosen
Max Lu is a chemical engineer and academic leader who serves as the Vice-Chancellor and President of the University of Surrey in the United Kingdom.
-
B.
Marv
Marv is an ancient city in present-day Turkmenistan that was a major Silk Road hub and one of the great cultural and commercial centers of the Islamic world.
-
C.
Marv
Marv is a masculine given name, often used as a shortened form of Marvin.
-
D.
Max Vatan
Max Vatan is a skilled Canadian intelligence officer and pilot portrayed by Brad Pitt in the World War II romantic thriller film "Allied."
-
E.
Max Nanasy
Max Nanasy is a software engineer and writer known for contributions to programming tools and documentation, including work related to JSON5.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75152f93081909a8186bab5efaf97 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d5359c8190b46a6b817938eb67 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.