Triple
T13749283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore Unit |
E330298
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Wigs
Wigs is a rapper associated with the hip-hop collective Theodore Unit, known for its close ties to Ghostface Killah and the Wu-Tang Clan.
|
E1060683
|
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: Wigs | Statement: [Theodore Unit, hasMember, Wigs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wigs Context triple: [Theodore Unit, hasMember, Wigs]
-
A.
Hair
Hair is a 1979 musical anti-war film directed by Miloš Forman, adapted from the 1960s stage musical and known for its portrayal of the hippie counterculture and Vietnam War–era America.
-
B.
Hair Body Face
"Hair Body Face" is a pop song performed by Lady Gaga from the soundtrack of the 2018 film *A Star Is Born*.
-
C.
The Hair Buyer
The Hair Buyer is a character from the musical "Hamilton," known for purchasing Eliza Hamilton’s hair in the song "Burn."
-
D.
Ves headdress
The Ves headdress is an ornate, sacred headpiece worn by male Kandyan dancers in Sri Lanka, symbolizing ritual purity and mastery in the classical dance tradition.
-
E.
Bangs
Bangs is a surname of English origin borne by various notable individuals, including scientists, writers, and public figures.
- 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: Wigs Triple: [Theodore Unit, hasMember, Wigs]
Generated description
Wigs is a rapper associated with the hip-hop collective Theodore Unit, known for its close ties to Ghostface Killah and the Wu-Tang Clan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wigs Target entity description: Wigs is a rapper associated with the hip-hop collective Theodore Unit, known for its close ties to Ghostface Killah and the Wu-Tang Clan.
-
A.
Hair
Hair is a 1979 musical anti-war film directed by Miloš Forman, adapted from the 1960s stage musical and known for its portrayal of the hippie counterculture and Vietnam War–era America.
-
B.
Hair Body Face
"Hair Body Face" is a pop song performed by Lady Gaga from the soundtrack of the 2018 film *A Star Is Born*.
-
C.
The Hair Buyer
The Hair Buyer is a character from the musical "Hamilton," known for purchasing Eliza Hamilton’s hair in the song "Burn."
-
D.
Ves headdress
The Ves headdress is an ornate, sacred headpiece worn by male Kandyan dancers in Sri Lanka, symbolizing ritual purity and mastery in the classical dance tradition.
-
E.
Bangs
Bangs is a surname of English origin borne by various notable individuals, including scientists, writers, and public figures.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02148c208190a882927905a861a6 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a854098c8190983d142c9930962b |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7ac78ef5081909caccd2fc5772f24 |
completed | May 3, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad54e3e88190aeae31d69788cce5 |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:08 p.m.