Triple
T3258229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue October |
E68346
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fear
"Fear" is a song by American rock band Blue October, known for its introspective lyrics and emotional exploration of anxiety and overcoming inner struggles.
|
E343298
|
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: Fear | Statement: [Blue October, notableWork, Fear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fear Context triple: [Blue October, notableWork, Fear]
-
A.
Fear
Fear is a nervous, cautious emotion character in Pixar's animated film "Inside Out," responsible for keeping Riley safe by anticipating potential dangers.
-
B.
Creature Fear
"Creature Fear" is a song by Bon Iver from the critically acclaimed indie folk album *For Emma, Forever Ago*.
-
C.
Great Fear
The Great Fear was a widespread rural panic and wave of peasant uprisings across France in the summer of 1789, driven by rumors of aristocratic plots and contributing to the radicalization of the early French Revolution.
-
D.
Nervous
"Nervous" is a track by the electronic music producer and DJ Legend.
-
E.
Arachnophobia
Arachnophobia is a 1990 horror-comedy film about deadly spiders terrorizing a small town.
- 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: Fear Triple: [Blue October, notableWork, Fear]
Generated description
"Fear" is a song by American rock band Blue October, known for its introspective lyrics and emotional exploration of anxiety and overcoming inner struggles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fear Target entity description: "Fear" is a song by American rock band Blue October, known for its introspective lyrics and emotional exploration of anxiety and overcoming inner struggles.
-
A.
Fear
Fear is a nervous, cautious emotion character in Pixar's animated film "Inside Out," responsible for keeping Riley safe by anticipating potential dangers.
-
B.
Creature Fear
"Creature Fear" is a song by Bon Iver from the critically acclaimed indie folk album *For Emma, Forever Ago*.
-
C.
Great Fear
The Great Fear was a widespread rural panic and wave of peasant uprisings across France in the summer of 1789, driven by rumors of aristocratic plots and contributing to the radicalization of the early French Revolution.
-
D.
Nervous
"Nervous" is a track by the electronic music producer and DJ Legend.
-
E.
Arachnophobia
Arachnophobia is a 1990 horror-comedy film about deadly spiders terrorizing a small town.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf6a46448190a7fa0ca83fa096f8 |
completed | March 8, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ed3a7908190bfab434a64af5f2f |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b2903dd0ac819088499f06edfeac56 |
completed | March 12, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6bf36988190b394766e9821047c |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:09 p.m.