Triple
T15434128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Lisan |
E369714
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lisan |
E369714
|
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: Lisan | Statement: [Li Lisan, givenName, Lisan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisan Context triple: [Li Lisan, givenName, Lisan]
-
A.
Lisan
chosen
Lisan is the given name of Li Lisan, a prominent early leader of the Chinese Communist movement.
-
B.
Lasha
Lasha is the nickname of George IV of Georgia, a medieval Georgian king from the Bagrationi dynasty.
-
C.
Ilai
Ilai is an early Jewish sage known primarily as the father of the prominent Tanna Rabbi Yehuda ben Ilai.
-
D.
Luro
Luro is an administrative post and rural area in eastern Timor-Leste known for its mountainous terrain and traditional villages.
-
E.
Lidan
Lidan is a river in southwestern Sweden that flows through the historical province of Västergötland before emptying into Lake Vänern.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a3d1f481908f6795656514b2b4 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.