Triple
T7227936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ari Emanuel |
E154828
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | IMG |
E568749
|
NE 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: IMG | Statement: [Ari Emanuel, associatedWith, IMG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IMG Context triple: [Ari Emanuel, associatedWith, IMG]
-
A.
IMG
chosen
IMG is a global sports, events, and talent management company known for representing athletes and models and producing major sporting and fashion events.
-
B.
Images
Images is a set of impressionistic piano pieces by Claude Debussy that evoke vivid, atmospheric soundscapes through innovative harmony and tone color.
-
C.
MPIMG
MPIMG is a leading research institute of the Max Planck Society focused on advancing molecular genetics and genomics.
-
D.
Photos
Photos is Apple's built-in photo management and editing application for macOS that organizes, syncs, and enhances users' image and video libraries.
-
E.
imgCIF
imgCIF is a crystallographic data format designed to store and exchange image and diffraction data within the Crystallographic Information Framework.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9df72cc81908d1c04e6e310fbb4 |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc1cdfb88190934387e44531b732 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:54 p.m.