Triple
T7418841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strut |
E171193
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Sex
"Sex" is a song by the American rock band Strut.
|
E663009
|
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: Sex | Statement: [Strut, hasTrack, Sex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sex Context triple: [Strut, hasTrack, Sex]
-
A.
SEX
SEX is an alias used by American rapper Young Thug, reflecting his provocative and unconventional artistic persona.
-
B.
Sexus
Sexus is an autobiographical novel by Henry Miller that vividly chronicles his bohemian life, sexual exploits, and artistic struggles in early 20th-century New York.
-
C.
Sex/Life
Sex/Life is a steamy Netflix drama series that explores a suburban wife's clash between her stable family life and the wild past she still craves.
-
D.
Male and Female
"Male and Female" is a landmark anthropological study by Margaret Mead that examines gender roles and sexual norms across different cultures to challenge Western assumptions about masculinity and femininity.
-
E.
Gender Unit
The Gender Unit is a specialized office within the UN Department of Peace Operations that promotes and integrates gender perspectives and women’s participation across peacekeeping policies and missions.
- 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: Sex Triple: [Strut, hasTrack, Sex]
Generated description
"Sex" is a song by the American rock band Strut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sex Target entity description: "Sex" is a song by the American rock band Strut.
-
A.
SEX
SEX is an alias used by American rapper Young Thug, reflecting his provocative and unconventional artistic persona.
-
B.
Sexus
Sexus is an autobiographical novel by Henry Miller that vividly chronicles his bohemian life, sexual exploits, and artistic struggles in early 20th-century New York.
-
C.
Sex/Life
Sex/Life is a steamy Netflix drama series that explores a suburban wife's clash between her stable family life and the wild past she still craves.
-
D.
Male and Female
"Male and Female" is a landmark anthropological study by Margaret Mead that examines gender roles and sexual norms across different cultures to challenge Western assumptions about masculinity and femininity.
-
E.
Gender Unit
The Gender Unit is a specialized office within the UN Department of Peace Operations that promotes and integrates gender perspectives and women’s participation across peacekeeping policies and missions.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef30ee88190a484f4b735913676 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81f8590348190ac632731b9bb9a52 |
completed | March 28, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82036e43481908a4be75ab4e1409c |
completed | March 28, 2026, 6:38 p.m. |
Created at: March 27, 2026, 3:11 p.m.