Triple
T9854636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Private Joker |
E239552
|
entity |
| Predicate | wearsOnHelmet |
P57385
|
FINISHED |
| Object | Born to Kill slogan |
—
|
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: Born to Kill slogan | Statement: [Private Joker, wearsOnHelmet, Born to Kill slogan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearsOnHelmet Context triple: [Private Joker, wearsOnHelmet, Born to Kill slogan]
-
A.
helmetNumber
Indicates the identifying number assigned to a person or object as displayed on their helmet.
-
B.
helmetType
Indicates the specific category or style of helmet associated with an entity.
-
C.
helmetColor
Indicates the specific color attribute assigned to a helmet in the relationship.
-
D.
helmetLogo
chosen
Indicates that one entity serves as the logo or emblem displayed on the helmet of another entity.
-
E.
associatedWithHeadgear
Indicates a relationship where an entity is connected or related to a particular item of headgear, such as by wearing, using, or being characterized by it.
- F. None of above.
Provenance (3 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3960fb481909c90d6d6cafc6222 |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:34 p.m.