Triple
T12348399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamikaze |
E294416
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Get Me
"Get Me" is a track featured on the album "Kamikaze," likely contributing to its overall musical and thematic composition.
|
E977241
|
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: Get Me | Statement: [Kamikaze, hasPart, Get Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Me Context triple: [Kamikaze, hasPart, Get Me]
-
A.
Get Me There
Get Me There is a smart ticketing and payment system used across Greater Manchester’s public transport network.
-
B.
Get It Now
"Get It Now" is a song by the American rock band Sugarcane.
-
C.
Come and Get It
Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
-
D.
Come and Get It
Come and Get It is the second solo studio album by British pop singer Rachel Stevens, noted for its polished dance-pop production and critical acclaim.
-
E.
U Get Me High
"U Get Me High" is a rock song by Tom Petty and the Heartbreakers, featured on their 2014 album *Hypnotic Eye*.
- 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: Get Me Triple: [Kamikaze, hasPart, Get Me]
Generated description
"Get Me" is a track featured on the album "Kamikaze," likely contributing to its overall musical and thematic composition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Get Me Target entity description: "Get Me" is a track featured on the album "Kamikaze," likely contributing to its overall musical and thematic composition.
-
A.
Get Me There
Get Me There is a smart ticketing and payment system used across Greater Manchester’s public transport network.
-
B.
Get It Now
"Get It Now" is a song by the American rock band Sugarcane.
-
C.
Come and Get It
Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
-
D.
Come and Get It
Come and Get It is the second solo studio album by British pop singer Rachel Stevens, noted for its polished dance-pop production and critical acclaim.
-
E.
U Get Me High
"U Get Me High" is a rock song by Tom Petty and the Heartbreakers, featured on their 2014 album *Hypnotic Eye*.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aae8d7c8190a722c28a5a153d1d |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d07d3148190a45542c8d43a7077 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.