Triple
T14704654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McTeague |
E345394
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object | Greed |
E596685
|
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: Greed | Statement: [McTeague, hasAdaptation, Greed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greed Context triple: [McTeague, hasAdaptation, Greed]
-
A.
Greed
chosen
Greed is a 1924 silent drama film directed by Erich von Stroheim, renowned for its stark realism and tragic portrayal of human avarice.
-
B.
Greed
Greed is a 2019 British satirical comedy film about a ruthless fashion retail billionaire, co-written by and starring Sarah Solemani alongside Steve Coogan.
-
C.
Greed
"Greed" is a song by the American metal band Awake.
-
D.
Darkness of Greed
"Darkness of Greed" is a song associated with the animated film "Inside Out," likely reflecting the movie’s themes of complex emotions and inner turmoil.
-
E.
For the Love of Money
"For the Love of Money" is a 1973 funk and soul song by The O'Jays, co-written and produced by Kenneth Gamble, that became famous for its distinctive bassline and critique of materialism.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6086c608190a66c64e23a3e002f |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf087ce8c819081a7186df67bcf1f |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.