Triple
T9752707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roll |
E236478
|
entity |
| Predicate | performsWith |
P9966
|
FINISHED |
| Object | Tuck |
E236477
|
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: Tuck | Statement: [Roll, performsWith, Tuck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuck Context triple: [Roll, performsWith, Tuck]
-
A.
Tuck
chosen
Tuck is one of the twin pill bug circus performers in Pixar's animated film "A Bug's Life," known for his comedic antics alongside his brother Roll.
-
B.
Tuck
Tuck is the nickname of Turkey Stearnes, a Hall of Fame Negro Leagues baseball star known for his powerful hitting and all-around excellence.
-
C.
Tuck
Tuck is the middle name of Asahd Tuck Khaled, the son of music producer and DJ Khaled.
-
D.
Tucks
Tucks is a personal care brand best known for its medicated pads and products that provide relief from hemorrhoids and related discomfort.
-
E.
The Baxter
The Baxter is a 2005 romantic comedy film that parodies traditional love-triangle tropes by focusing on the jilted "nice guy" usually left behind in such stories.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fae332c8190b11f0258b5a5ae2b |
completed | April 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5a1a3b88190a1b4561a9a780e41 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:24 p.m.