Triple
T15822144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodies |
E383638
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object |
Hotline
"Hotline" is a song featured on the album "Goodies" by American singer Ciara.
|
E1178612
|
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: Hotline | Statement: [Goodies, includesSong, Hotline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hotline Context triple: [Goodies, includesSong, Hotline]
-
A.
Landline
Landline is a 2017 American comedy-drama film set in 1990s New York City that follows a family dealing with infidelity and personal upheaval, starring Jenny Slate.
-
B.
Telefon Bay
Telefon Bay is a small volcanic bay on Deception Island in Antarctica, known for its stark polar landscape and evidence of past eruptions.
-
C.
Payphone
"Payphone" is a 2012 pop song by Maroon 5 featuring rapper Wiz Khalifa, known for its catchy chorus and themes of heartbreak and regret.
-
D.
Coldline
Coldline is a Google Cloud Storage class designed for low-cost, long-term storage of infrequently accessed data with higher retrieval latency and fees.
-
E.
Terminal T9
Terminal T9 was the former designation for what is now known as Terminal 3 at Paris Charles de Gaulle Airport, serving low-cost and charter airline operations.
- 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: Hotline Triple: [Goodies, includesSong, Hotline]
Generated description
"Hotline" is a song featured on the album "Goodies" by American singer Ciara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hotline Target entity description: "Hotline" is a song featured on the album "Goodies" by American singer Ciara.
-
A.
Landline
Landline is a 2017 American comedy-drama film set in 1990s New York City that follows a family dealing with infidelity and personal upheaval, starring Jenny Slate.
-
B.
Telefon Bay
Telefon Bay is a small volcanic bay on Deception Island in Antarctica, known for its stark polar landscape and evidence of past eruptions.
-
C.
Payphone
"Payphone" is a 2012 pop song by Maroon 5 featuring rapper Wiz Khalifa, known for its catchy chorus and themes of heartbreak and regret.
-
D.
Coldline
Coldline is a Google Cloud Storage class designed for low-cost, long-term storage of infrequently accessed data with higher retrieval latency and fees.
-
E.
Terminal T9
Terminal T9 was the former designation for what is now known as Terminal 3 at Paris Charles de Gaulle Airport, serving low-cost and charter airline operations.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a887d881908f74a1fcba390727 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff99999c2c8190b1838aed40e12061 |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9aa845348190907116612d2c87cd |
completed | May 9, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9b8833b88190967db29027b5f987 |
completed | May 9, 2026, 8:39 p.m. |
Created at: April 10, 2026, 4:49 a.m.