Triple
T3113705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SiR |
E65007
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Her Too
"Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
|
E327792
|
NE FINISHED |
How this triple was built (4 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, notableWork, Her Too]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Her Too Context triple: [SiR, notableWork, Her Too]
-
A.
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.
-
B.
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.
-
C.
This Woman
"This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
-
D.
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.
-
E.
She’s Not for You
"She’s Not for You" is a country song by Willie Nelson featured on his 1973 album *Shotgun Willie*.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Her Too Triple: [SiR, notableWork, Her Too]
Generated description
"Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Her Too Target entity description: "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
-
A.
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.
-
B.
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.
-
C.
This Woman
"This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
-
D.
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.
-
E.
She’s Not for You
"She’s Not for You" is a country song by Willie Nelson featured on his 1973 album *Shotgun Willie*.
- F. None of above. chosen
Provenance (5 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_69b2039b11d4819095ee77d84d6e7b8a |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20563abdc8190a51e1cfbcc6e0075 |
completed | March 12, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205f1b3c08190a63fd9494dc8aee8 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:04 p.m.