Triple
T13060456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Need To Talk |
E329181
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Homiesexual
Homiesexual is a comedic online video segment known for its humorous take on male friendships and modern masculinity.
|
E1018886
|
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: Homiesexual | Statement: [We Need To Talk, hasPart, Homiesexual]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homiesexual Context triple: [We Need To Talk, hasPart, Homiesexual]
-
A.
GAY
GAY is the IATA airport code for Gaya Airport, serving the city of Gaya in the Indian state of Bihar.
-
B.
Homowo
Homowo is a major traditional harvest festival of the Ga people of Ghana, marked by rituals, drumming, dancing, and the symbolic “hooting at hunger.”
-
C.
Queer
Queer is a semi-autobiographical novel by William S. Burroughs that explores themes of homosexuality, addiction, and alienation in postwar Mexico City.
-
D.
Gay
Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
E.
LBT
LBT is the public-facing brand name and logo used by Long Beach Transit, the primary public transportation agency serving Long Beach, California, and surrounding areas.
- 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: Homiesexual Triple: [We Need To Talk, hasPart, Homiesexual]
Generated description
Homiesexual is a comedic online video segment known for its humorous take on male friendships and modern masculinity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Homiesexual Target entity description: Homiesexual is a comedic online video segment known for its humorous take on male friendships and modern masculinity.
-
A.
GAY
GAY is the IATA airport code for Gaya Airport, serving the city of Gaya in the Indian state of Bihar.
-
B.
Homowo
Homowo is a major traditional harvest festival of the Ga people of Ghana, marked by rituals, drumming, dancing, and the symbolic “hooting at hunger.”
-
C.
Queer
Queer is a semi-autobiographical novel by William S. Burroughs that explores themes of homosexuality, addiction, and alienation in postwar Mexico City.
-
D.
Gay
Gay is a common English surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
E.
LBT
LBT is the public-facing brand name and logo used by Long Beach Transit, the primary public transportation agency serving Long Beach, California, and surrounding areas.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe259408190a7e88482c96f24a9 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cdc285788190a05a51295306f087 |
completed | May 3, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ceafcca88190bcd65be3c4440987 |
completed | May 3, 2026, 4:27 a.m. |
Created at: April 9, 2026, 8:58 p.m.