Triple
T14045711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Big, How Blue, How Beautiful |
E337949
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Delilah |
E337941
|
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: Delilah | Statement: [How Big, How Blue, How Beautiful, single, Delilah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delilah Context triple: [How Big, How Blue, How Beautiful, single, Delilah]
-
A.
Delilah
chosen
"Delilah" is a song by English indie rock band Florence and the Machine, featured on their 2015 album *How Big, How Blue, How Beautiful*.
-
B.
Delilah
Delilah is a staff member at the Tranquillum House wellness resort in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers," involved in the unconventional treatment of the guests.
-
C.
Delilah
Delilah is a 1949 American film noir drama scored by composer Victor Young.
-
D.
Delilah
"Delilah" is a 1968 pop song by Welsh singer Tom Jones, known for its dramatic storytelling and powerful vocal performance.
-
E.
Delilah
Delilah is a drama television series that serves as a spin-off of the church-centered family saga Greenleaf, focusing on new characters and legal and personal conflicts.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65c1a90819097754497f07f5312 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.