Triple
T500369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Martin |
E10385
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
All of Me
All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
|
E62328
|
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: All of Me | Statement: [Steve Martin, notableWork, All of Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All of Me Context triple: [Steve Martin, notableWork, All of Me]
-
A.
All of Me
"All of Me" is a 2013 piano-driven R&B ballad by John Legend that became one of his signature love songs and a global hit.
-
B.
No One
"No One" is a Grammy-winning R&B ballad by American singer-songwriter Alicia Keys that became one of her signature hits worldwide.
-
C.
Say Something
"Say Something" is a 2013 emotional pop ballad by A Great Big World featuring Christina Aguilera that gained widespread acclaim for its sparse piano arrangement and heartfelt vocals.
-
D.
My Love
"My Love" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
-
E.
You're Beautiful
"You're Beautiful" is a 2005 pop ballad by British singer-songwriter James Blunt that became an international hit and one of his signature songs.
- 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: All of Me Triple: [Steve Martin, notableWork, All of Me]
Generated description
All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: All of Me Target entity description: All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
-
A.
All of Me
"All of Me" is a 2013 piano-driven R&B ballad by John Legend that became one of his signature love songs and a global hit.
-
B.
No One
"No One" is a Grammy-winning R&B ballad by American singer-songwriter Alicia Keys that became one of her signature hits worldwide.
-
C.
Say Something
"Say Something" is a 2013 emotional pop ballad by A Great Big World featuring Christina Aguilera that gained widespread acclaim for its sparse piano arrangement and heartfelt vocals.
-
D.
My Love
"My Love" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
-
E.
You're Beautiful
"You're Beautiful" is a 2005 pop ballad by British singer-songwriter James Blunt that became an international hit and one of his signature songs.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f13096248190a622a58dcf540b00 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a485456cfc81908fab6c5d9548ebb9 |
completed | March 1, 2026, 6:28 p.m. |
| NEDg | Description generation | batch_69a485da078c819098bc4a2bca818d5e |
completed | March 1, 2026, 6:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a486416de48190864ed2874556f5ef |
completed | March 1, 2026, 6:32 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.