Triple
T32100813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Wen of Zhou |
E819842
|
entity |
| Predicate | ancestralTempleName |
P44027
|
FINISHED |
| Object |
Shizu
Shizu is the posthumous ancestral temple name used in Chinese imperial ancestral rites to honor King Wen of Zhou, a foundational ruler of the Zhou dynasty.
|
E2088724
|
NE FINISHED |
How this triple was built (3 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: Shizu | Statement: [King Wen of Zhou, ancestralTempleName, Shizu]
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: Shizu Triple: [King Wen of Zhou, ancestralTempleName, Shizu]
Generated description
Shizu is the posthumous ancestral temple name used in Chinese imperial ancestral rites to honor King Wen of Zhou, a foundational ruler of the Zhou dynasty.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ancestralTempleName Context triple: [King Wen of Zhou, ancestralTempleName, Shizu]
-
A.
templeName
chosen
Indicates that an entity is identified by or associated with the name of a temple.
-
B.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
-
C.
associatedTemple
Indicates a relationship where one entity is linked or connected to a particular temple, typically as its relevant or related religious site.
-
D.
shrineName
Indicates that an entity has the specified name of a shrine.
-
E.
isNumberedTempleOf
Indicates that one entity is a specific, designated temple identified by a particular number within a series or system associated with another entity.
- F. None of above.
Provenance (6 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b695bb248190b53b8056dbcf6b55 |
completed | May 3, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36e5ff27288190a142e460255e3e64 |
completed | June 20, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_6a36e75dafb081908f1aafe1fdc60cb6 |
completed | June 20, 2026, 7:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36e7b750708190bb913e8368704235 |
completed | June 20, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:26 a.m.