Triple
T10862792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Carter (film) |
E256446
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Dejah Thoris
Dejah Thoris is a Martian princess and scientist from Edgar Rice Burroughs' Barsoom series, portrayed as a key heroine and love interest in the film "John Carter."
|
E891044
|
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: Dejah Thoris | Statement: [John Carter (film), character, Dejah Thoris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dejah Thoris Context triple: [John Carter (film), character, Dejah Thoris]
-
A.
Shera
Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
-
B.
Mara
Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
-
C.
Mara
Mara are an indigenous ethnic group of northeastern India and neighboring Myanmar, known for their distinct Tibeto-Burman language and cultural traditions.
-
D.
Marella
Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
-
E.
Moraima
Moraima was the wife of Boabdil, the last Nasrid ruler of the Emirate of Granada in late medieval Spain.
- 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: Dejah Thoris Triple: [John Carter (film), character, Dejah Thoris]
Generated description
Dejah Thoris is a Martian princess and scientist from Edgar Rice Burroughs' Barsoom series, portrayed as a key heroine and love interest in the film "John Carter."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dejah Thoris Target entity description: Dejah Thoris is a Martian princess and scientist from Edgar Rice Burroughs' Barsoom series, portrayed as a key heroine and love interest in the film "John Carter."
-
A.
Shera
Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
-
B.
Mara
Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
-
C.
Mara
Mara are an indigenous ethnic group of northeastern India and neighboring Myanmar, known for their distinct Tibeto-Burman language and cultural traditions.
-
D.
Marella
Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
-
E.
Moraima
Moraima was the wife of Boabdil, the last Nasrid ruler of the Emirate of Granada in late medieval Spain.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7515238108190a72eb8cd147f223d |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d5359c8190b46a6b817938eb67 |
completed | April 15, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69e0026e7900819087327db5f625169c |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e0057a7704819096becb74dc261883 |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:20 p.m.