Triple
T30476663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lao Dan |
E775460
|
entity |
| Predicate | biographicalStatus |
P169472
|
FINISHED |
| Object | semi-legendary |
—
|
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: semi-legendary | Statement: [Lao Dan, biographicalStatus, semi-legendary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biographicalStatus Context triple: [Lao Dan, biographicalStatus, semi-legendary]
-
A.
hasBiographicalStyle
Indicates that something is characterized by or presented in a biographical manner or style.
-
B.
hasBiographicalWork
Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
-
C.
hasBiographicalTheme
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
-
D.
hasBiographicalRelation
Indicates a relationship where one entity has a biographical connection to another, such as being the subject, author, or source of biographical information.
-
E.
hasBiographicalSignificanceIn
Indicates that something holds notable relevance or importance within the context of a particular person's life or biography.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687192fc88190abd451b2941b421e |
completed | May 2, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:12 p.m.