Triple
T13865634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allison Miller |
E333317
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | 17 Again |
E1059619
|
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: 17 Again | Statement: [Allison Miller, notableWork, 17 Again]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 17 Again Context triple: [Allison Miller, notableWork, 17 Again]
-
A.
17 Again
chosen
17 Again is a 2009 fantasy-comedy film in which a middle-aged man is magically transformed back into his 17-year-old self, leading to humorous and heartfelt attempts to fix his past mistakes.
-
B.
Lucy in 17 Again
Lucy in 17 Again is a character from the 2009 fantasy-comedy film "17 Again," portrayed by actress Leslie Mann.
-
C.
18 Again
18 Again is a South Korean television drama series about a middle-aged man who magically regains his 18-year-old body and gets a second chance at life and family.
-
D.
Once and Again
Once and Again is an American television drama series that explores the romantic relationship and blended-family struggles of two divorced parents.
-
E.
28 Up
28 Up is a British documentary film, part of the long-running "Up" series, that revisits the lives of a group of individuals at age 28 to explore social class, personal development, and life trajectories over time.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c419d481909230e8879b6dab5c |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c10113288190b799126d934df92a |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.