Triple
T2198372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casey Affleck |
E50429
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I'm Still Here |
E50434
|
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: I'm Still Here | Statement: [Casey Affleck, notableWork, I'm Still Here]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'm Still Here Context triple: [Casey Affleck, notableWork, I'm Still Here]
-
A.
I'm Still Here
chosen
"I'm Still Here" is a 2010 mockumentary-style film directed by Casey Affleck that follows Joaquin Phoenix’s staged breakdown and supposed retirement from acting to become a rapper.
-
B.
I Was Here
"I Was Here" is a song best known for Beyoncé’s powerful ballad reflecting on legacy and making a meaningful impact on the world.
-
C.
And Still
"And Still" is a reflective, emotionally charged song by English musician Peter Gabriel, known for its atmospheric production and introspective lyrics.
-
D.
Still Here
"Still Here" is a song by Jennifer Hudson from her debut studio album "I Remember Me."
-
E.
We Right Here
"We Right Here" is a hard-hitting hip-hop single by DMX known for its aggressive energy and anthemic hook.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf7b65cc8190bcc5a5c52b90f33b |
completed | March 7, 2026, 6:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db9b0208190a63a75c86ea9dcff |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.