Triple
T14080775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lips of an Angel |
E338859
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Cody Hanson |
E338870
|
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: Cody Hanson | Statement: [Lips of an Angel, writer, Cody Hanson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cody Hanson Context triple: [Lips of an Angel, writer, Cody Hanson]
-
A.
Cody Hanson
chosen
Cody Hanson is an American drummer best known as a founding member of the rock band Hinder.
-
B.
Cory Hanson
Cory Hanson is an American musician and songwriter best known as the frontman and primary creative force of the experimental rock band Wand.
-
C.
Cody Christian
Cody Christian is an American actor best known for his roles on television series such as "All American," "Teen Wolf," and "Pretty Little Liars."
-
D.
Dylan Tichenor
Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
-
E.
Taylor Hanson
Taylor Hanson is an American musician best known as a member and lead vocalist/keyboardist of the pop band Hanson, which rose to fame in the late 1990s with the hit song "MMMBop."
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6749c3c81909833a0b6ddcae3fb |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.