Triple
T5925689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clyde Langer |
E131804
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | the Trickster |
E244901
|
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: the Trickster | Statement: [Clyde Langer, enemyOf, the Trickster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Trickster Context triple: [Clyde Langer, enemyOf, the Trickster]
-
A.
Trickster
chosen
Trickster is a comic-book supervillain from DC Comics, best known as an enemy of the Flash and for his chaotic, prank-based crimes.
-
B.
The Trick
The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
-
C.
The Liar
"The Liar" is a painting by African-American artist Archibald Motley that exemplifies his vivid, jazz-age depictions of Black urban life and social interaction.
-
D.
The Liar
"The Liar" is a comic novel by Stephen Fry that follows a brilliant but deceitful young man entangled in espionage, sexuality, and storytelling.
-
E.
The Fortune Teller
The Fortune Teller is a comic opera by composer Victor Herbert that blends lighthearted romance, mistaken identities, and lively melodies in a Central European setting.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03852806c81908ba726c16adf3358 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c04e5af8819095f15cfbc1f13c46 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.