Triple
T15452337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trustfall |
E371682
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hate Me |
E343292
|
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: Hate Me | Statement: [Trustfall, hasPart, Hate Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hate Me Context triple: [Trustfall, hasPart, Hate Me]
-
A.
Hate Me
chosen
"Hate Me" is a confessional alternative rock song by Blue October that explores themes of guilt, addiction, and emotional turmoil in a failed relationship.
-
B.
She Hate Me
She Hate Me is a 2004 satirical comedy-drama film directed by Spike Lee that follows a fired executive who starts a controversial side business impregnating lesbians for money.
-
C.
She Hates Me
"She Hates Me" is a song by American rapper Ludacris from his 2003 album *Chicken-n-Beer*, featuring R&B singer Fate Wilson and exploring themes of romantic conflict and resentment.
-
D.
Hate My Love
"Hate My Love" is a song featured in the stage musical adaptation of The Proclaimers' music, Sunshine on Leith.
-
E.
Hate My Heart
"Hate My Heart" is a country-pop song by Carrie Underwood from her album "Denim & Rhinestones," showcasing her energetic vocals and themes of post-breakup frustration and empowerment.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b3c5a481908057e94fd84f3cfc |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:30 a.m.