Triple
T7742210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Taylor Thomas |
E175536
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Tim Allen |
E236460
|
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: Tim Allen | Statement: [Jonathan Taylor Thomas, workedWith, Tim Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Allen Context triple: [Jonathan Taylor Thomas, workedWith, Tim Allen]
-
A.
Tim Allen
chosen
Tim Allen is an American actor and comedian best known for starring in the sitcom "Home Improvement" and voicing Buzz Lightyear in the "Toy Story" film series.
-
B.
Rick Moranis
Rick Moranis is a Canadian actor and comedian best known for his roles in films such as Ghostbusters, Honey, I Shrunk the Kids, and Spaceballs.
-
C.
Chris Elliott
Chris Elliott is an American actor and comedian known for his offbeat roles in film and television, including his supporting role in the comedy classic "Groundhog Day."
-
D.
Will Murray
Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
-
E.
David Spade
David Spade is an American comedian and actor known for his work on "Saturday Night Live" and in numerous comedy films and television shows.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70387807081909546bc7c209955ef |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be454e708190b410dada4f4f1e97 |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:07 p.m.