Triple
T9375556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hail to the Thief |
E225637
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Will |
E464753
|
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 Will | Statement: [Hail to the Thief, hasPart, I Will]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Will Context triple: [Hail to the Thief, hasPart, I Will]
-
A.
I Will
chosen
"I Will" is a gentle, acoustic love song by The Beatles, written primarily by Paul McCartney and featured on their 1968 self-titled "White Album."
-
B.
I Will
"I Will" is a song co-written by American singer-songwriter Dan Wilson, known for his emotionally resonant, melodic pop-rock compositions.
-
C.
For You I Will
"For You I Will" is an R&B ballad by American singer Monica, best known for its appearance on the soundtrack of the 1996 film *Space Jam* and for becoming one of her signature hits.
-
D.
She Will
"She Will" is a hip-hop song by Lil Wayne featuring Drake, known for its moody production and introspective lyrics about success, loyalty, and relationships.
-
E.
I'll Be
"I'll Be" is a 1997 R&B/hip-hop single by Foxy Brown featuring Jay-Z, known for its smooth production and chart success.
- 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50aa3d008190836d0fde840da7d2 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f4229c988190be23ccfae8b350ec |
completed | April 4, 2026, 11:21 a.m. |
Created at: March 30, 2026, 7:44 p.m.