Triple
T14581164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Koren |
E342194
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Click |
E90081
|
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: Click | Statement: [Steve Koren, workedOn, Click]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Click Context triple: [Steve Koren, workedOn, Click]
-
A.
Click
chosen
Click is a 2006 fantasy-comedy film starring Adam Sandler as a man who discovers a universal remote control that can manipulate time and his own life.
-
B.
Click
Click is a popular Python package that simplifies the creation of composable, user-friendly command-line interfaces.
-
C.
Clicks
Clicks is a major South African health, beauty, and pharmacy retail chain.
-
D.
Cliqua
Cliqua is a filmmaking duo known for directing stylish, high-concept music videos for major pop and hip-hop artists.
-
E.
Tap
Tap is a 1989 dance drama film showcasing Gregory Hines’s tap-dancing talent alongside an ensemble of legendary hoofers.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb41e71748190a1deacc819dd26d3 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9167b888190abb8f301b0c7c55b |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.