Triple
T14273778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meg Foster |
E353862
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Best of the Best 2 |
E858001
|
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: Best of the Best 2 | Statement: [Meg Foster, notableWork, Best of the Best 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Best of the Best 2 Context triple: [Meg Foster, notableWork, Best of the Best 2]
-
A.
Best of the Best 2
chosen
Best of the Best 2 is a 1993 American martial arts action film and sequel that follows a group of fighters drawn into a deadly underground fighting ring.
-
B.
Best of the Best
Best of the Best is a 1989 American martial arts sports drama film about a U.S. taekwondo team competing against South Korea, known for its intense tournament action and ensemble cast.
-
C.
Best of the Best 3: No Turning Back
Best of the Best 3: No Turning Back is a 1995 American martial arts action film and the third installment in the Best of the Best series.
-
D.
All for the Best
"All for the Best" is a comic duet from the 1971 musical *Godspell*, known for its vaudeville style and contrasting perspectives on faith and suffering.
-
E.
The Best at It
The Best at It is a middle-grade novel by Maulik Pancholy about an Indian American boy navigating identity, anxiety, and first crushes in a small Midwestern town.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6582f5308190969f4cfd724d9139 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326d35808190bbf3f6bbc50554f4 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:10 a.m.