Triple
T15349414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hero |
E367010
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Looking for You |
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 | Statement: [Hero, hasPart, Looking for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Looking for You Context triple: [Hero, hasPart, Looking for You]
-
A.
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."
-
B.
Find Me Finding You
Find Me Finding You is a solo studio album by French musician Laetitia Sadier, blending avant-pop, indie, and politically tinged lyrics.
-
C.
Find You
"Find You" is a 2014 electronic dance music track by Zedd featuring Matthew Koma and Miriam Bryant, known for its melodic progressive house style and inclusion on the "Divergent" film soundtrack.
-
D.
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.
-
E.
I Found You
"I Found You" is a song featured on the album "Boys & Girls."
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e27f8a88190a0f65756e3a1fdfc |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fb46b48190a030e40ee0163559 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.