Triple
T464635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginger Rogers |
E8417
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Teenage Rebel
"Teenage Rebel" is a 1956 American drama film featuring Ginger Rogers in a story about family conflict and generational tensions.
|
E57923
|
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: Teenage Rebel | Statement: [Ginger Rogers, notableWork, Teenage Rebel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teenage Rebel Context triple: [Ginger Rogers, notableWork, Teenage Rebel]
-
A.
Teen Age Idol
"Teen Age Idol" is a 1962 pop song by American singer Ricky Nelson that reflects the pressures and loneliness behind teen stardom.
-
B.
Once Again
Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
-
C.
While We’re Young
"While We’re Young" is a 2014 comedy-drama film written and directed by Noah Baumbach that explores generational conflict and midlife anxiety through the relationship between an aging documentary filmmaker couple and a younger hipster pair.
-
D.
Tell Me No
"Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
-
E.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
- 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: Teenage Rebel Triple: [Ginger Rogers, notableWork, Teenage Rebel]
Generated description
"Teenage Rebel" is a 1956 American drama film featuring Ginger Rogers in a story about family conflict and generational tensions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teenage Rebel Target entity description: "Teenage Rebel" is a 1956 American drama film featuring Ginger Rogers in a story about family conflict and generational tensions.
-
A.
Teen Age Idol
"Teen Age Idol" is a 1962 pop song by American singer Ricky Nelson that reflects the pressures and loneliness behind teen stardom.
-
B.
Once Again
Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
-
C.
While We’re Young
"While We’re Young" is a 2014 comedy-drama film written and directed by Noah Baumbach that explores generational conflict and midlife anxiety through the relationship between an aging documentary filmmaker couple and a younger hipster pair.
-
D.
Tell Me No
"Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
-
E.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd5b6b48190ae23968135cf6417 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a45297615881908011d248f1c8fd76 |
completed | March 1, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69a453056b148190a731d421a79738b6 |
completed | March 1, 2026, 2:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4538139bc819092cfe5ed6637953d |
completed | March 1, 2026, 2:56 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.