Triple
T15359606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liars |
E367254
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mess
"Mess" is an experimental rock album by the American band Liars, known for its abrasive electronic textures and stylistic unpredictability.
|
E1153267
|
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: Mess | Statement: [Liars, notableWork, Mess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mess Context triple: [Liars, notableWork, Mess]
-
A.
Mess It Up
"Mess It Up" is a song by The Rolling Stones featured on their 2023 studio album "Hackney Diamonds."
-
B.
Messery
Messery is a small French commune located on the southern shore of Lake Geneva in the Haute-Savoie department of the Auvergne-Rhône-Alpes region.
-
C.
The Mess
"The Mess" is a song that appears as the B-side to the single "My Love."
-
D.
Malarkey
Malarkey is a surname most notably associated with Donald Malarkey, a U.S. Army paratrooper of Easy Company whose World War II service was popularized in the book and miniseries "Band of Brothers."
-
E.
Mess Around
"Mess Around" is a lively 1953 rhythm and blues song by Ray Charles that became one of his early hits and showcases his energetic piano style and soulful vocals.
- 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: Mess Triple: [Liars, notableWork, Mess]
Generated description
"Mess" is an experimental rock album by the American band Liars, known for its abrasive electronic textures and stylistic unpredictability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mess Target entity description: "Mess" is an experimental rock album by the American band Liars, known for its abrasive electronic textures and stylistic unpredictability.
-
A.
Mess It Up
"Mess It Up" is a song by The Rolling Stones featured on their 2023 studio album "Hackney Diamonds."
-
B.
Messery
Messery is a small French commune located on the southern shore of Lake Geneva in the Haute-Savoie department of the Auvergne-Rhône-Alpes region.
-
C.
The Mess
"The Mess" is a song that appears as the B-side to the single "My Love."
-
D.
Malarkey
Malarkey is a surname most notably associated with Donald Malarkey, a U.S. Army paratrooper of Easy Company whose World War II service was popularized in the book and miniseries "Band of Brothers."
-
E.
Mess Around
"Mess Around" is a lively 1953 rhythm and blues song by Ray Charles that became one of his early hits and showcases his energetic piano style and soulful vocals.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b47f20081909ef7b077458d1510 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0dde2ec48190aac70b0513fb1847 |
completed | May 9, 2026, 10:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0e5eabf08190811d8a91bfe0de76 |
completed | May 9, 2026, 10:37 a.m. |
Created at: April 10, 2026, 3:18 a.m.