Triple
T13032187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Malloy |
E326466
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Johnny Friendly |
E943806
|
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: Johnny Friendly | Statement: [Terry Malloy, enemyOf, Johnny Friendly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Friendly Context triple: [Terry Malloy, enemyOf, Johnny Friendly]
-
A.
Johnny Friendly
chosen
Johnny Friendly is the corrupt and ruthless mob-connected union boss who serves as the main antagonist in the classic film "On the Waterfront."
-
B.
Officer Bill Lockwood
Officer Bill Lockwood is a fictional police officer featured as a central character in the classic American radio crime drama series "Dragnet."
-
C.
Stan Fink
Stan Fink is a supporting character in the film "Eternal Sunshine of the Spotless Mind," working as a technician for the memory-erasing company Lacuna, Inc.
-
D.
Lester Cole
Lester Cole was an American screenwriter and one of the Hollywood Ten, blacklisted during the Red Scare for alleged communist affiliations.
-
E.
Walt Kowalski
Walt Kowalski is a gruff, widowed Korean War veteran whose evolving relationship with his Hmong neighbors drives the emotional and moral core of the film "Gran Torino."
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efe72348190b52fb4068f5fb829 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e269c18481908e0b46c298a946ca |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 8:54 p.m.