Triple
T16676538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dream of Life |
E405227
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Looking for You (I Was) |
E813867
|
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: Looking for You (I Was) | Statement: [Dream of Life, hasPart, Looking for You (I Was) ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Looking for You (I Was) Context triple: [Dream of Life, hasPart, Looking for You (I Was) ]
-
A.
Look for Me
"Look for Me" is a crime thriller novel by Lisa Gardner featuring detective D.D. Warren as she investigates a brutal family massacre and a missing teenage girl.
-
B.
Looking for You
chosen
"Looking for You" is a song that appears as the B-side to Paul McCartney's 1997 single "The World Tonight."
-
C.
Everywhere I Look
Everywhere I Look is a collection of essays and diary-style pieces by Australian writer Helen Garner, reflecting on everyday life, literature, and culture with her characteristic clarity and emotional insight.
-
D.
I Found You
"I Found You" is a song featured on the album "Boys & Girls."
-
E.
I Found You
"I Found You" is a song that served as the original version of James Brown's classic hit "I Got You (I Feel Good)."
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6b69cc8190b19632e1b4293569 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3c79888190b6ddd55b91d97183 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.