Triple
T14627795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxine Tarnow |
E343397
|
entity |
| Predicate | appearsInWork |
P795
|
FINISHED |
| Object | Bleeding Edge |
E62696
|
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: Bleeding Edge | Statement: [Maxine Tarnow, appearsInWork, Bleeding Edge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleeding Edge Context triple: [Maxine Tarnow, appearsInWork, Bleeding Edge]
-
A.
Bleeding Edge
Bleeding Edge is a team-based online multiplayer brawler video game known for its colorful cast of cyberpunk-style fighters and melee-focused combat.
-
B.
Bleeding Edge
chosen
Bleeding Edge is a 2013 postmodern detective novel by Thomas Pynchon that explores the intersection of technology, capitalism, and conspiracy in New York City around the time of the dot-com crash and 9/11.
-
C.
The Cutting Edge
The Cutting Edge is a 1992 romantic comedy film about a figure skater and a former hockey player who become unlikely pairs partners on the ice.
-
D.
Sharp Edge
Sharp Edge is a famous and exposed arête-style scrambling ridge on the mountain Blencathra in England’s Lake District, popular with experienced hikers and climbers.
-
E.
Bleed
"Bleed" is a highly influential and technically demanding extreme metal song, best known from the Swedish band Meshuggah.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a7c8fc81909d10c1f563d7d1e7 |
completed | April 14, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92c25ac8190ba931c009e7ace19 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.