Triple
T23074399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boudica (2003 film) |
E575286
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Warrior Queen
Warrior Queen is a 2003 historical drama film depicting the life and rebellion of the ancient British Iceni queen Boudica against Roman rule.
|
E1569103
|
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: Warrior Queen | Statement: [Boudica (2003 film), alsoKnownAs, Warrior Queen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warrior Queen Context triple: [Boudica (2003 film), alsoKnownAs, Warrior Queen]
-
A.
Barbarian Queen
Barbarian Queen is a 1985 low-budget fantasy adventure film known for its sword-and-sorcery themes and for starring Lana Clarkson as a vengeful warrior.
-
B.
Warrior Woman
Warrior Woman is a formidable female combatant renowned for fiercely opposing invading forces.
-
C.
Shadow Queen
The Shadow Queen is an ancient, malevolent demon and final boss in Paper Mario: The Thousand-Year Door who seeks to engulf the world in darkness.
-
D.
Guerrière
Guerrière was a French warship that took part in the decisive 1827 naval Battle of Navarino during the Greek War of Independence.
-
E.
La Reine de la guerre
La Reine de la guerre is a dramatic work by French playwright Marcelle Maurette, known for its historical themes and strong female protagonist.
- 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: Warrior Queen Triple: [Boudica (2003 film), alsoKnownAs, Warrior Queen]
Generated description
Warrior Queen is a 2003 historical drama film depicting the life and rebellion of the ancient British Iceni queen Boudica against Roman rule.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warrior Queen Target entity description: Warrior Queen is a 2003 historical drama film depicting the life and rebellion of the ancient British Iceni queen Boudica against Roman rule.
-
A.
Barbarian Queen
Barbarian Queen is a 1985 low-budget fantasy adventure film known for its sword-and-sorcery themes and for starring Lana Clarkson as a vengeful warrior.
-
B.
Warrior Woman
Warrior Woman is a formidable female combatant renowned for fiercely opposing invading forces.
-
C.
Shadow Queen
The Shadow Queen is an ancient, malevolent demon and final boss in Paper Mario: The Thousand-Year Door who seeks to engulf the world in darkness.
-
D.
Guerrière
Guerrière was a French warship that took part in the decisive 1827 naval Battle of Navarino during the Greek War of Independence.
-
E.
La Reine de la guerre
La Reine de la guerre is a dramatic work by French playwright Marcelle Maurette, known for its historical themes and strong female protagonist.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c61bb7c8190a3d9b1fba173cdff |
completed | April 29, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15aaf74881909d2cd5f3d730f1b4 |
completed | May 19, 2026, 7:47 a.m. |
| NEDg | Description generation | batch_6a0c15f186208190889e0766ddf03343 |
completed | May 19, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c165b716c8190b1c1e1683fe897db |
completed | May 19, 2026, 7:50 a.m. |
Created at: April 17, 2026, 3:56 p.m.