Triple
T6444293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS Dhoni |
E138301
|
entity |
| Predicate | famousShot |
P30535
|
FINISHED |
| Object | helicopter shot |
—
|
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: helicopter shot | Statement: [MS Dhoni, famousShot, helicopter shot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousShot Context triple: [MS Dhoni, famousShot, helicopter shot]
-
A.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
-
B.
famousImage
Indicates that an image is widely recognized or well-known, typically due to its prominence, popularity, or cultural significance.
-
C.
shoots
Indicates that one entity propels a projectile or discharge toward another entity, typically with the intent to hit or affect it.
-
D.
shotType
chosen
Indicates the specific kind or category of shot used or taken in a given context (e.g., in film, photography, or sports).
-
E.
shootingStyle
Indicates the characteristic manner or technique with which an entity performs a shooting action (e.g., in sports or photography).
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698c17ec81909f6bbcbe636a67fd |
completed | March 22, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69c060faaf248190bbdc8ff909c8777a |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:46 p.m.