Triple
T17747228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remy Zero |
E443018
|
entity |
| Predicate | hasAssociatedSong |
P2152
|
FINISHED |
| Object |
Fair
"Fair" is a song by the American alternative rock band Remy Zero, best known for its inclusion on the soundtrack of the film "Garden State."
|
E1285947
|
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: Fair | Statement: [Remy Zero, hasAssociatedSong, Fair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fair Context triple: [Remy Zero, hasAssociatedSong, Fair]
-
A.
Fair & Balanced
Fair & Balanced was the long-time marketing slogan used by Fox News Channel to promote its image as an impartial and objective news source.
-
B.
Fairplay
Fairplay is a small historic mountain town in central Colorado that serves as a gateway to outdoor recreation in the surrounding Rockies.
-
C.
Just
Just is the given name of Just Fontaine, the legendary French footballer who holds the record for most goals scored in a single FIFA World Cup tournament.
-
D.
Just
"Just" is a critically acclaimed alternative rock song by Radiohead, known for its intricate guitar work and enigmatic music video.
-
E.
FairPlay
FairPlay is Apple’s proprietary digital rights management technology used to protect and control access to media content distributed through its platforms.
- 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: Fair Triple: [Remy Zero, hasAssociatedSong, Fair]
Generated description
"Fair" is a song by the American alternative rock band Remy Zero, best known for its inclusion on the soundtrack of the film "Garden State."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fair Target entity description: "Fair" is a song by the American alternative rock band Remy Zero, best known for its inclusion on the soundtrack of the film "Garden State."
-
A.
Fair & Balanced
Fair & Balanced was the long-time marketing slogan used by Fox News Channel to promote its image as an impartial and objective news source.
-
B.
Fairplay
Fairplay is a small historic mountain town in central Colorado that serves as a gateway to outdoor recreation in the surrounding Rockies.
-
C.
Just
Just is the given name of Just Fontaine, the legendary French footballer who holds the record for most goals scored in a single FIFA World Cup tournament.
-
D.
Just
"Just" is a critically acclaimed alternative rock song by Radiohead, known for its intricate guitar work and enigmatic music video.
-
E.
FairPlay
FairPlay is Apple’s proprietary digital rights management technology used to protect and control access to media content distributed through its platforms.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad33160819093c9bbd3c8957314 |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02430296708190a2e68097b69f2f37 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a024810afec8190bfe11b35bb1853ac |
completed | May 11, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0248e4d7548190b23a70068868b2f9 |
completed | May 11, 2026, 9:23 p.m. |
Created at: April 10, 2026, 10:10 a.m.