Triple
T20566342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zilu |
E504974
|
entity |
| Predicate | roleInAnalects |
P140586
|
FINISHED |
| Object | key interlocutor of Confucius |
—
|
LITERAL 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: key interlocutor of Confucius | Statement: [Zilu, roleInAnalects, key interlocutor of Confucius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAnalects Context triple: [Zilu, roleInAnalects, key interlocutor of Confucius]
-
A.
roleInBabel
Indicates that an entity participates in the Babel project or system with a specific role or function.
-
B.
roleInTheology
Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
-
C.
roleInRhyme
Indicates the specific function or part an entity plays within a rhyme, such as a character, object, or structural element of the rhyming text.
-
D.
cultRole
Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
-
E.
roleInTheatreEcosystem
Indicates the specific function, responsibility, or position an entity holds within the interconnected system of theatre production, distribution, and audience engagement.
- F. None of above. chosen
Provenance (4 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:39 a.m.