Triple
T17121768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sycamore Partners |
E415483
|
entity |
| Predicate | notableInvestment |
P3488
|
FINISHED |
| Object |
Hot Topic
Hot Topic is an American retail chain known for selling music- and pop-culture-inspired clothing, accessories, and collectibles, particularly associated with alternative and youth subcultures.
|
E1250666
|
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: [Sycamore Partners, notableInvestment, Hot Topic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Topic Context triple: [Sycamore Partners, notableInvestment, Hot Topic]
-
A.
Hot Topic
"Hot Topic" is a feminist punk-electroclash anthem by Le Tigre that celebrates influential women, queer icons, and progressive cultural figures.
-
B.
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.
-
C.
HOT
HOT is the three-letter National Rail station code assigned to Henley-on-Thames railway station in Oxfordshire, England.
-
D.
HOT
HOT is the stock ticker symbol for Hochtief, a major German construction and infrastructure company.
-
E.
HOT
HOT is a major Israeli telecommunications and cable television provider that also produces and broadcasts original Hebrew-language TV series.
- 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: [Sycamore Partners, notableInvestment, Hot Topic]
Generated description
Hot Topic is an American retail chain known for selling music- and pop-culture-inspired clothing, accessories, and collectibles, particularly associated with alternative and youth subcultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hot Topic Target entity description: Hot Topic is an American retail chain known for selling music- and pop-culture-inspired clothing, accessories, and collectibles, particularly associated with alternative and youth subcultures.
-
A.
Hot Topic
"Hot Topic" is a feminist punk-electroclash anthem by Le Tigre that celebrates influential women, queer icons, and progressive cultural figures.
-
B.
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.
-
C.
HOT
HOT is the three-letter National Rail station code assigned to Henley-on-Thames railway station in Oxfordshire, England.
-
D.
HOT
HOT is the stock ticker symbol for Hochtief, a major German construction and infrastructure company.
-
E.
HOT
HOT is a major Israeli telecommunications and cable television provider that also produces and broadcasts original Hebrew-language TV series.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e809ee888190a2cf69d59c0b9c20 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a1062fc8190b1c4e97f42cf3faa |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013ae388548190b09d2c81e1ab0d02 |
completed | May 11, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b4df74c81908b3b99e276531e13 |
completed | May 11, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:36 a.m.