Triple
T23389499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Houghton |
E593972
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Aguirre |
—
|
NE NERFINISHED |
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: Aguirre | Statement: [Lily Houghton, enemy, Aguirre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguirre Context triple: [Lily Houghton, enemy, Aguirre]
-
A.
Aguirre
chosen
Aguirre is a cursed 16th-century Spanish conquistador and the main antagonist in Disney's adventure film "Jungle Cruise."
-
B.
Capitán Vidal
Capitán Vidal is the ruthless and authoritarian Falangist officer who serves as the primary antagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
C.
Fitzcarraldo
Fitzcarraldo is a 1982 Werner Herzog adventure-drama film, starring Klaus Kinski and Claudia Cardinale, about an obsessed man’s quixotic quest to build an opera house in the Amazon jungle.
-
D.
Lope de Aguirre
Lope de Aguirre was a 16th-century Spanish conquistador notorious for his brutal rebellion against the Spanish Crown during a doomed expedition in search of the legendary El Dorado in South America.
-
E.
Alejandro
Alejandro is the Spanish form of the given name Alexander, commonly used in Spanish-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49a7c14819082aab826715976c5 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.