Triple
T10717476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elastic Love |
E252714
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Chris "Tricky" Stewart |
E73885
|
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: Chris "Tricky" Stewart | Statement: [Elastic Love, writer, Chris "Tricky" Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris "Tricky" Stewart Context triple: [Elastic Love, writer, Chris "Tricky" Stewart]
-
A.
Christopher "Tricky" Stewart
Christopher "Tricky" Stewart is an American record producer and songwriter known for crafting numerous chart-topping R&B and pop hits for major artists.
-
B.
Tricky Stewart
chosen
Tricky Stewart is an American record producer and songwriter known for crafting numerous chart-topping R&B and pop hits for major artists.
-
C.
Cole Trickle
Cole Trickle is a fictional NASCAR driver portrayed by Tom Cruise in the 1990 racing film "Days of Thunder."
-
D.
Geoff Travis
Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
-
E.
Michael Trigg
Michael Trigg is an American football coach best known for his tenure leading the Arena Football League’s Philadelphia Soul.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3566e88190b5c0c6d1b159dd45 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d999278b8481909bc4e849b9580eb7 |
completed | April 11, 2026, 12:43 a.m. |
Created at: April 8, 2026, 9:13 p.m.