Triple
T10717196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Tigre |
E252707
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Hot Topic
"Hot Topic" is a feminist punk-electroclash anthem by Le Tigre that celebrates influential women, queer icons, and progressive cultural figures.
|
E881258
|
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: Hot Topic | Statement: [Le Tigre, notableSong, Hot Topic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Topic Context triple: [Le Tigre, notableSong, Hot Topic]
-
A.
Hot Topics
Hot Topics is the opening discussion segment on the daytime talk show "The View," where the co-hosts debate and comment on current events and trending issues.
-
B.
HOT
HOT is the three-letter National Rail station code assigned to Henley-on-Thames railway station in Oxfordshire, England.
-
C.
Hot Thing
"Hot Thing" is a funk-infused track by Prince from his acclaimed 1987 double album *Sign o’ the Times*, noted for its sensual lyrics and dance-driven groove.
-
D.
Hot Countries
"Hot Countries" is a 1930 novel by British writer Alec Waugh, set in the tropics and exploring themes of colonial life, desire, and moral conflict.
-
E.
Hot Spot
Hot Spot is a fast-paced keno-style draw game offered by the California State Lottery where players pick numbers for frequent drawings with varying prize levels.
- 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: Hot Topic Triple: [Le Tigre, notableSong, Hot Topic]
Generated description
"Hot Topic" is a feminist punk-electroclash anthem by Le Tigre that celebrates influential women, queer icons, and progressive cultural figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hot Topic Target entity description: "Hot Topic" is a feminist punk-electroclash anthem by Le Tigre that celebrates influential women, queer icons, and progressive cultural figures.
-
A.
Hot Topics
Hot Topics is the opening discussion segment on the daytime talk show "The View," where the co-hosts debate and comment on current events and trending issues.
-
B.
HOT
HOT is the three-letter National Rail station code assigned to Henley-on-Thames railway station in Oxfordshire, England.
-
C.
Hot Thing
"Hot Thing" is a funk-infused track by Prince from his acclaimed 1987 double album *Sign o’ the Times*, noted for its sensual lyrics and dance-driven groove.
-
D.
Hot Countries
"Hot Countries" is a 1930 novel by British writer Alec Waugh, set in the tropics and exploring themes of colonial life, desire, and moral conflict.
-
E.
Hot Spot
Hot Spot is a fast-paced keno-style draw game offered by the California State Lottery where players pick numbers for frequent drawings with varying prize levels.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3566e88190b5c0c6d1b159dd45 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d999278b8481909bc4e849b9580eb7 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e86e198819080f71400295a31e7 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.