Triple
T3113713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SiR |
E65007
|
entity |
| Predicate | EP |
P15272
|
FINISHED |
| Object | Her Too |
E327792
|
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: Her Too | Statement: [SiR, EP, Her Too]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Her Too Context triple: [SiR, EP, Her Too]
-
A.
Her Too
chosen
"Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
-
B.
I’m With Her
"I’m With Her" is the central campaign slogan used by Hillary Clinton during her 2016 U.S. presidential run, emphasizing support for her candidacy and gender milestone.
-
C.
Her Town Too
"Her Town Too" is a 1981 soft rock song by James Taylor (with J.D. Souther) known for its reflective lyrics about the emotional fallout of a breakup.
-
D.
This Woman
"This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
-
E.
Tell Her About It
"Tell Her About It" is a 1983 Motown-influenced pop song by Billy Joel that became a number-one hit on the Billboard Hot 100.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43c79448190aa72f707319e8c5e |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f5cfc7c8190b867794c0e9a271e |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.