Triple
T14081962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ready Set |
E338888
|
entity |
| Predicate | hasAssociatedAct |
P2830
|
FINISHED |
| Object |
Metro Station
Metro Station is an American pop rock/synth-pop band best known for their 2007 hit single "Shake It."
|
E1078414
|
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: Metro Station | Statement: [The Ready Set, hasAssociatedAct, Metro Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metro Station Context triple: [The Ready Set, hasAssociatedAct, Metro Station]
-
A.
The Station
The Station is a painting by British artist L. S. Lowry, known for its distinctive depiction of industrial urban life with stylized figures and stark architectural forms.
-
B.
The Station
The Station is a musical cue from Bernard Herrmann's iconic score for Alfred Hitchcock's 1959 thriller "North by Northwest."
-
C.
Downtown Train
"Downtown Train" is a popular rock ballad best known from Rod Stewart’s hit 1989 cover of Tom Waits’ original song.
-
D.
The Underground
"The Underground" is a poem by Seamus Heaney that reflects on love, memory, and artistic inspiration through the metaphor of a journey on the London Underground.
-
E.
Terminal B Station
Terminal B Station is an AirTrain Newark stop serving passengers traveling to and from Terminal B at Newark Liberty International Airport.
- 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: Metro Station Triple: [The Ready Set, hasAssociatedAct, Metro Station]
Generated description
Metro Station is an American pop rock/synth-pop band best known for their 2007 hit single "Shake It."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metro Station Target entity description: Metro Station is an American pop rock/synth-pop band best known for their 2007 hit single "Shake It."
-
A.
The Station
The Station is a painting by British artist L. S. Lowry, known for its distinctive depiction of industrial urban life with stylized figures and stark architectural forms.
-
B.
The Station
The Station is a musical cue from Bernard Herrmann's iconic score for Alfred Hitchcock's 1959 thriller "North by Northwest."
-
C.
Downtown Train
"Downtown Train" is a popular rock ballad best known from Rod Stewart’s hit 1989 cover of Tom Waits’ original song.
-
D.
The Underground
"The Underground" is a poem by Seamus Heaney that reflects on love, memory, and artistic inspiration through the metaphor of a journey on the London Underground.
-
E.
Terminal B Station
Terminal B Station is an AirTrain Newark stop serving passengers traveling to and from Terminal B at Newark Liberty International Airport.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6749c3c81909833a0b6ddcae3fb |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc44b8f3c8190a7dc5a98239be1a5 |
completed | May 7, 2026, 4:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc4d99f608190a6dddfda19bf0685 |
completed | May 7, 2026, 4:59 p.m. |
Created at: April 9, 2026, 10:21 p.m.