Triple
T27065452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesus (Paul Rovia) |
E685160
|
entity |
| Predicate | notableAppearanceFeature |
P200117
|
FINISHED |
| Object | long hair |
—
|
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: long hair | Statement: [Jesus (Paul Rovia), notableAppearanceFeature, long hair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAppearanceFeature Context triple: [Jesus (Paul Rovia), notableAppearanceFeature, long hair]
-
A.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
B.
notableAppearanceType
Indicates the type or category of a notable appearance associated with an entity, such as a significant role, cameo, or featured presence.
-
C.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
-
D.
notableCastFeature
Indicates that a cast member has a distinctive or noteworthy characteristic, role, or attribute that is especially significant in the context of the production.
-
E.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ff76ac40988190a34d858b5472ee2b |
completed | May 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69ff760a90948190a12fcb80e6e3e14b |
completed | May 9, 2026, 5:59 p.m. |
| PDg | Predicate description generation | batch_69ff76ab9b4c8190b4cc7c9c733b2765 |
completed | May 9, 2026, 6:02 p.m. |
Created at: April 27, 2026, 8:24 a.m.