Triple
T10845365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Her Skin |
E255995
|
entity |
| Predicate | alternativeTitle |
P39
|
FINISHED |
| Object |
I Am You
I Am You is a psychological thriller film based on the true story of the 1999 disappearance and murder of Australian teenager Rachel Barber.
|
E889620
|
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: I Am You | Statement: [In Her Skin, alternativeTitle, I Am You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Am You Context triple: [In Her Skin, alternativeTitle, I Am You]
-
A.
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.
-
B.
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.
-
C.
I Am Me
"I Am Me" is the second studio album by American singer Ashlee Simpson, featuring pop rock tracks that continue the confessional style of her debut.
-
D.
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.
-
E.
As I Am
"As I Am" is a Grammy-winning R&B and soul studio album by American singer-songwriter Alicia Keys, noted for hits like "No One" and its blend of classical piano with contemporary urban sounds.
- 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: I Am You Triple: [In Her Skin, alternativeTitle, I Am You]
Generated description
I Am You is a psychological thriller film based on the true story of the 1999 disappearance and murder of Australian teenager Rachel Barber.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Am You Target entity description: I Am You is a psychological thriller film based on the true story of the 1999 disappearance and murder of Australian teenager Rachel Barber.
-
A.
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.
-
B.
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.
-
C.
I Am Me
"I Am Me" is the second studio album by American singer Ashlee Simpson, featuring pop rock tracks that continue the confessional style of her debut.
-
D.
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.
-
E.
As I Am
"As I Am" is a Grammy-winning R&B and soul studio album by American singer-songwriter Alicia Keys, noted for hits like "No One" and its blend of classical piano with contemporary urban sounds.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d0155c81908fb55ba6b45db800 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb162d718819081fbc3a082672b4f |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69dec255abb08190bf93573c41aa35e9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec7c48c3c81909365b901830f0906 |
completed | April 14, 2026, 11:03 p.m. |
Created at: April 8, 2026, 9:19 p.m.