Triple
T17201592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Predators (2010 film) |
E417486
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Isabelle
Isabelle is a central character in the 2010 science fiction action film "Predators," portrayed as one of the elite human warriors stranded on an alien game preserve.
|
E1255325
|
NE FINISHED |
How this triple was built (4 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: Isabelle | Statement: [Predators (2010 film), mainCharacter, Isabelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabelle Context triple: [Predators (2010 film), mainCharacter, Isabelle]
-
A.
Isabelle
Isabelle is a popular character from the Animal Crossing series who also appears as a playable racer in Mario Kart 8.
-
B.
Isabelle
Isabelle is a prominent interactive theorem prover and proof assistant widely used in formal verification and mathematical logic research.
-
C.
Isabelle
Isabelle is a feminine given name of French origin, commonly used in many countries and cultures.
-
D.
Isabel
Isabel is a feminine given name of Spanish origin, widely used in Spanish- and Portuguese-speaking countries and borne by numerous notable historical and contemporary figures.
-
E.
Isabel
Isabel is a Spanish historical drama television series centered on the life and reign of Queen Isabella I of Castile.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Isabelle Triple: [Predators (2010 film), mainCharacter, Isabelle]
Generated description
Isabelle is a central character in the 2010 science fiction action film "Predators," portrayed as one of the elite human warriors stranded on an alien game preserve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Isabelle Target entity description: Isabelle is a central character in the 2010 science fiction action film "Predators," portrayed as one of the elite human warriors stranded on an alien game preserve.
-
A.
Isabelle
Isabelle is a popular character from the Animal Crossing series who also appears as a playable racer in Mario Kart 8.
-
B.
Isabelle
Isabelle is a prominent interactive theorem prover and proof assistant widely used in formal verification and mathematical logic research.
-
C.
Isabelle
Isabelle is a feminine given name of French origin, commonly used in many countries and cultures.
-
D.
Isabel
Isabel is a Spanish historical drama television series centered on the life and reign of Queen Isabella I of Castile.
-
E.
Isabel
Isabel is a feminine given name of Spanish origin, widely used in Spanish- and Portuguese-speaking countries and borne by numerous notable historical and contemporary figures.
- F. None of above. chosen
Provenance (5 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db014b08190b88a5001e9f7811b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fda06788190882aef1a57356e41 |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a0160a0f8248190bc187ea121ea6753 |
completed | May 11, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016127c0388190a2a869a46f13b3d1 |
completed | May 11, 2026, 4:55 a.m. |
Created at: April 10, 2026, 5:38 a.m.