Triple
T5861605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Cat Dubh |
E130286
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Into the Heart |
E130287
|
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: Into the Heart | Statement: [An Cat Dubh, followedBy, Into the Heart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Into the Heart Context triple: [An Cat Dubh, followedBy, Into the Heart]
-
A.
Into the Heart
chosen
"Into the Heart" is a song by the Irish rock band U2 from their 1980 debut album "Boy."
-
B.
Into the Sun
"Into the Sun" is a song by American indie folk band Lord Huron, known for their atmospheric, cinematic sound and storytelling lyrics.
-
C.
Heart of the Matter
"Heart of the Matter" is a song featured on the album *What About Me*.
-
D.
Into the Blue
Into the Blue is a 2005 action-thriller film about a group of divers who discover a sunken plane full of drugs, starring Paul Walker and Jessica Alba.
-
E.
Wild at Heart
Wild at Heart is a 1990 surreal crime-romance film directed by David Lynch, known for its violent, dreamlike road-movie style and starring Nicolas Cage and Laura Dern.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03589f74881908cfa4f250263b97d |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1ca4e488190aceb451ab5826818 |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.