Triple
T14196461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmet for My Pillow |
E351848
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | The Pacific |
E70837
|
NE FINISHED |
How this triple was built (2 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: The Pacific | Statement: [Helmet for My Pillow, influenced, The Pacific]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Pacific Context triple: [Helmet for My Pillow, influenced, The Pacific]
-
A.
The Pacific
chosen
The Pacific is a World War II television miniseries that chronicles the experiences of U.S. Marines fighting in the Pacific Theater.
-
B.
Pacífico
Pacífico is a Madrid Metro station serving as an interchange between lines 1 and 6 in the Retiro district of Spain's capital.
-
C.
Pacific
Pacific is a type of steam locomotive wheel arrangement, typically featuring a 4-6-2 configuration widely used for express passenger services.
-
D.
Pacific Ocean
The Pacific Ocean is the largest and deepest ocean on Earth, spanning from the Arctic in the north to the Southern Ocean and from Asia and Australia to the Americas.
-
E.
Pacifico
Pacifico is an Italian singer-songwriter and musician known for his introspective pop compositions and collaborations with prominent artists such as Gianna Nannini.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54fe6b048190a16695af6e269e86 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:04 a.m.