Triple
T14762507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doris Fallon |
E346903
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Teenage Rebel |
E57923
|
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: Teenage Rebel | Statement: [Doris Fallon, appearsIn, Teenage Rebel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teenage Rebel Context triple: [Doris Fallon, appearsIn, Teenage Rebel]
-
A.
Teenage Rebel
chosen
"Teenage Rebel" is a 1956 American drama film featuring Ginger Rogers in a story about family conflict and generational tensions.
-
B.
Teenage Rebellion
"Teenage Rebellion" is a song that explores the defiant, emotional, and often turbulent experiences of adolescence.
-
C.
She’s a Rebel
"She’s a Rebel" is a fast-paced punk rock song by Green Day from their rock opera album *American Idiot*, celebrating a defiant and revolutionary female character.
-
D.
Rebel Rebel
"Rebel Rebel" is a 1974 glam rock song by David Bowie, renowned for its iconic guitar riff and androgynous, gender-bending lyrics.
-
E.
Teenage Fever
"Teenage Fever" is a moody, R&B-infused Drake song reflecting on youthful heartbreak and nostalgia.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f3a1608190b1b17624003a0c7f |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf24c0081909221cb7d761e882f |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.