Triple
T16331472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trapped in the Flames |
E396563
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Trapped in the Flames |
E396563
|
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: Trapped in the Flames | Statement: [Trapped in the Flames, hasTitle, Trapped in the Flames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trapped in the Flames Context triple: [Trapped in the Flames, hasTitle, Trapped in the Flames]
-
A.
Trapped in the Flames
chosen
"Trapped in the Flames" is an episode title from the 1939 science fiction movie serial *The Phantom Creeps*, starring Bela Lugosi as a mad scientist.
-
B.
Up in Flames
"Up in Flames" is a mellow, piano-driven ballad by Coldplay featured on their concept album "Mylo Xyloto."
-
C.
Going Down in Flames
"Going Down in Flames" is a rock song by 3 Doors Down featured on their album "Away from the Sun."
-
D.
Chasing the Flame
Chasing the Flame is a non-fiction book by Samantha Power that chronicles the life and work of Brazilian UN diplomat Sérgio Vieira de Mello and his efforts in some of the world’s most challenging conflict zones.
-
E.
Fuel for the Flame
Fuel for the Flame is a novel by British writer Alec Waugh, known for its exploration of personal relationships and social mores in mid-20th-century settings.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4dfd9688190a749e48ebc055baf |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002613c0e88190b91da8eba683c864 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.