Triple
T1748771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jungle Book (2016 film) |
E38392
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Bagheera
Bagheera is the wise and protective black panther who mentors and safeguards Mowgli in Disney’s live-action adaptation of The Jungle Book.
|
E197209
|
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: Bagheera | Statement: [The Jungle Book (2016 film), character, Bagheera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagheera Context triple: [The Jungle Book (2016 film), character, Bagheera]
-
A.
Mufasa
Mufasa is the wise and noble lion king of the Pride Lands and father of Simba in Disney's The Lion King.
-
B.
The Tiger
The Tiger is the costumed feline mascot that represents Princeton University's athletic teams, particularly its football program.
-
C.
Leões
Leões is the popular nickname for Sporting Clube de Portugal, one of Portugal’s biggest football clubs, symbolizing the team’s lion emblem and fighting spirit.
-
D.
Lion
Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
-
E.
Lion
Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
- 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: Bagheera Triple: [The Jungle Book (2016 film), character, Bagheera]
Generated description
Bagheera is the wise and protective black panther who mentors and safeguards Mowgli in Disney’s live-action adaptation of The Jungle Book.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bagheera Target entity description: Bagheera is the wise and protective black panther who mentors and safeguards Mowgli in Disney’s live-action adaptation of The Jungle Book.
-
A.
Mufasa
Mufasa is the wise and noble lion king of the Pride Lands and father of Simba in Disney's The Lion King.
-
B.
The Tiger
The Tiger is the costumed feline mascot that represents Princeton University's athletic teams, particularly its football program.
-
C.
Leões
Leões is the popular nickname for Sporting Clube de Portugal, one of Portugal’s biggest football clubs, symbolizing the team’s lion emblem and fighting spirit.
-
D.
Lion
Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
-
E.
Lion
Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63ee4d2081909dfd6d3244228c56 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e21e58819082943212bd725581 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1a2fb9481909d9ed587921ca6b6 |
completed | March 8, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada4dfc9188190845a4e4490318d68 |
completed | March 8, 2026, 4:33 p.m. |
Created at: March 4, 2026, 7:31 p.m.