Triple
T3121506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Battle of Los Angeles |
E65194
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Mic Check
"Mic Check" is a politically charged track by Rage Against the Machine from their acclaimed album *The Battle of Los Angeles*.
|
E329077
|
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: Mic Check | Statement: [The Battle of Los Angeles, hasPart, Mic Check]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mic Check Context triple: [The Battle of Los Angeles, hasPart, Mic Check]
-
A.
MIC
MIC is the commonly used abbreviation for the Mining Industry Committee, a body involved in representing and coordinating interests within the mining sector.
-
B.
MIC
MIC is an FTP security command introduced by RFC 2228 that provides message integrity checking for protected file transfer sessions.
-
C.
MQI
MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
-
D.
SIM
SIM is the commonly used abbreviation for the Science and Industry Museum in Manchester, a major UK museum dedicated to the history and impact of science, technology, and industry.
-
E.
Ping
Ping is a comic yet poignant ministerial official in Giacomo Puccini’s opera "Turandot," known for his lyrical reflections on home and the burdens of courtly duty.
- 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: Mic Check Triple: [The Battle of Los Angeles, hasPart, Mic Check]
Generated description
"Mic Check" is a politically charged track by Rage Against the Machine from their acclaimed album *The Battle of Los Angeles*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mic Check Target entity description: "Mic Check" is a politically charged track by Rage Against the Machine from their acclaimed album *The Battle of Los Angeles*.
-
A.
MIC
MIC is the commonly used abbreviation for the Mining Industry Committee, a body involved in representing and coordinating interests within the mining sector.
-
B.
MIC
MIC is an FTP security command introduced by RFC 2228 that provides message integrity checking for protected file transfer sessions.
-
C.
MQI
MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
-
D.
SIM
SIM is the commonly used abbreviation for the Science and Industry Museum in Manchester, a major UK museum dedicated to the history and impact of science, technology, and industry.
-
E.
Ping
Ping is a comic yet poignant ministerial official in Giacomo Puccini’s opera "Turandot," known for his lyrical reflections on home and the burdens of courtly duty.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5295cd481908d52e165538c67fa |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f6f57fc8190a5f50028792ac394 |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b211397cec8190a4545db3747486b7 |
completed | March 12, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b211a9fcd0819088a11c41280c7668 |
completed | March 12, 2026, 1:06 a.m. |
Created at: March 8, 2026, 3:04 p.m.