Triple
T37409678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jun-fan |
E929526
|
entity |
| Predicate | hasBearerAlternativeName |
P193634
|
FINISHED |
| Object | Bruce Lee |
—
|
NE NERFINISHED |
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: Bruce Lee | Statement: [Jun-fan, hasBearerAlternativeName, Bruce Lee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBearerAlternativeName Context triple: [Jun-fan, hasBearerAlternativeName, Bruce Lee]
-
A.
hasGivenNameOfBearer
Indicates that a bearer (such as a person or entity) has a specific given (first) name.
-
B.
hasBearerFullName
Indicates that an entity (the bearer) is associated with a complete personal name string.
-
C.
hasAlternativeBearers
Indicates that an entity can be carried, represented, or borne by more than one possible bearer or carrier as alternatives.
-
D.
hasNotableBearer
Indicates that an entity (such as a name, title, or identifier) is borne by at least one notable person or entity.
-
E.
hasMultipleBearers
Indicates that a single item, attribute, or role is associated with more than one bearer or holder simultaneously.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
| PDg | Predicate description generation | batch_69fd4d16dd20819096957c40f43cd971 |
completed | May 8, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:16 p.m.