Triple
T5746842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flora the Red Menace |
E126753
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
You Are You
"You Are You" is a song from the 1965 Broadway musical Flora the Red Menace, which marked Liza Minnelli’s Tony-winning debut.
|
E543980
|
NE FINISHED |
How this triple was built (4 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: You Are You | Statement: [Flora the Red Menace, notableSong, You Are You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Are You Context triple: [Flora the Red Menace, notableSong, You Are You]
-
A.
Who You Are
"Who You Are" is a pop ballad best known as a hit single by Jessie J, co-written and produced by songwriter Toby Gad.
-
B.
Who Are You
"Who Are You" is a 1978 rock song by The Who, widely recognized for its use as the theme music for the television series CSI: Crime Scene Investigation.
-
C.
As You Are
As You Are is a 2016 coming-of-age drama film that explores the intense and complicated relationships among three teenagers in the 1990s.
-
D.
For You
"For You" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its vivid storytelling and emotional intensity.
-
E.
I'm Not You
"I'm Not You" is a track from Clipse's debut album "Lord Willin'," showcasing the duo's gritty lyricism over Neptunes-produced beats.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: You Are You Triple: [Flora the Red Menace, notableSong, You Are You]
Generated description
"You Are You" is a song from the 1965 Broadway musical Flora the Red Menace, which marked Liza Minnelli’s Tony-winning debut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: You Are You Target entity description: "You Are You" is a song from the 1965 Broadway musical Flora the Red Menace, which marked Liza Minnelli’s Tony-winning debut.
-
A.
Who You Are
"Who You Are" is a pop ballad best known as a hit single by Jessie J, co-written and produced by songwriter Toby Gad.
-
B.
Who Are You
"Who Are You" is a 1978 rock song by The Who, widely recognized for its use as the theme music for the television series CSI: Crime Scene Investigation.
-
C.
As You Are
As You Are is a 2016 coming-of-age drama film that explores the intense and complicated relationships among three teenagers in the 1990s.
-
D.
For You
"For You" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its vivid storytelling and emotional intensity.
-
E.
I'm Not You
"I'm Not You" is a track from Clipse's debut album "Lord Willin'," showcasing the duo's gritty lyricism over Neptunes-produced beats.
- F. None of above. chosen
Provenance (5 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02885b0288190835809681a364b1f |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e2c54c0819087ab79ae855b9677 |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c08cc5c48481909c1ac21d586b3263 |
completed | March 23, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08d42cac88190b6cd454e8c31a4ef |
completed | March 23, 2026, 12:45 a.m. |
Created at: March 22, 2026, 3:48 p.m.