Triple
T11992118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Rodríguez |
E285431
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Burning Plain |
E907828
|
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 Burning Plain | Statement: [Alex Rodríguez, notableWork, The Burning Plain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Burning Plain Context triple: [Alex Rodríguez, notableWork, The Burning Plain]
-
A.
The Burning Plain
chosen
The Burning Plain is a 2008 drama film directed by Guillermo Arriaga, known for its interwoven narrative structure and ensemble cast led by Charlize Theron and Kim Basinger.
-
B.
The Burning Hills
The Burning Hills is a 1956 Western film starring Tab Hunter and Natalie Wood, adapted from a novel by Louis L’Amour.
-
C.
Land of Fire
Land of Fire is the English name for Tierra del Fuego, a remote archipelago at South America's southern tip known for its harsh climate, dramatic landscapes, and historic role in exploration.
-
D.
Land of Fire
Land of Fire is a popular epithet for Azerbaijan, reflecting its historic association with natural gas flames and ancient fire-worship.
-
E.
The Burning
"The Burning" is a popular episode of the sitcom *Seinfeld*, best known for featuring George Costanza’s “jerk store” comeback and Kramer’s storyline about medical students observing operations.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4726696dc8190bf2a7aa43cb08b19 |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.