Triple
T9801184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Alba |
E237840
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Into the Blue |
E104483
|
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 Blue | Statement: [Jessica Alba, notableWork, Into the Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Into the Blue Context triple: [Jessica Alba, notableWork, Into the Blue]
-
A.
Into the Blue
chosen
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.
-
B.
Into the Ocean
"Into the Ocean" is a melancholic alternative rock song by Blue October that blends introspective lyrics about loss and depression with a haunting, melodic arrangement.
-
C.
A World of Blue
"A World of Blue" is a song by American country artist Dwight Yoakam from his album "Tomorrow’s Sounds Today."
-
D.
Into the Heart
"Into the Heart" is a song by the Irish rock band U2 from their 1980 debut album "Boy."
-
E.
A Teardrop to the Sea
A Teardrop to the Sea is a song by Bon Jovi from their 2015 album "Burning Bridges."
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62a11a88190880e0cce24923b14 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c44a652c81908f644e1a5efe3eb1 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:29 p.m.