Triple
T24430713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bebop |
E615994
|
entity |
| Predicate | hasHumanFormName |
P156096
|
FINISHED |
| Object | Bebop (pre-mutation punk gang member, in many versions) |
—
|
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: Bebop (pre-mutation punk gang member, in many versions) | Statement: [Bebop, hasHumanFormName, Bebop (pre-mutation punk gang member, in many versions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHumanFormName Context triple: [Bebop, hasHumanFormName, Bebop (pre-mutation punk gang member, in many versions)]
-
A.
hasFormName
Indicates that an entity is associated with a specific form identified by a particular name.
-
B.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
C.
hasFormFor
Indicates that one entity possesses or provides a specific form or document intended to be used by another entity or for a particular purpose.
-
D.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
E.
usesNameForm
Indicates that one entity adopts or applies a particular standardized form or variant of a name associated with another entity.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29782a4a0819087cb7ba399371520 |
completed | April 29, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:16 a.m.