Triple
T13472435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Narrator |
E318161
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Project Mayhem |
E1042576
|
NE FINISHED |
How this triple was built (2 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: Project Mayhem | Statement: [The Narrator, memberOf, Project Mayhem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Project Mayhem Context triple: [The Narrator, memberOf, Project Mayhem]
-
A.
Project Mayhem
chosen
Project Mayhem is a clandestine, anarchic organization in the novel and film "Fight Club" that escalates from underground fighting to large-scale anti-corporate and anti-consumerist sabotage.
-
B.
Project Grudge
Project Grudge was a short-lived U.S. Air Force program in the late 1940s and early 1950s that investigated UFO reports with a generally skeptical, debunking approach.
-
C.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
-
D.
The Terrorizers
The Terrorizers is a spy novel by Donald Hamilton featuring his hard-edged government assassin Matt Helm in a Cold War-era mission.
-
E.
Murder City
Murder City is a British television crime drama series featuring Tom Wisdom in a prominent role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7547f6b1c8190965b239da0b47e93 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:42 p.m.