Triple
T6125504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pan Live! |
E136584
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Tiger Lily
Tiger Lily is the proud and brave princess of the Native tribe in the Peter Pan story, known for her loyalty to Peter and her spirited defiance of Captain Hook.
|
E570571
|
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: Tiger Lily | Statement: [Peter Pan Live!, character, Tiger Lily]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiger Lily Context triple: [Peter Pan Live!, character, Tiger Lily]
-
A.
Dora Riparia
Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
-
B.
Mombi
Mombi is a wicked witch from L. Frank Baum’s Oz series, best known for usurping and enchanting Princess Ozma to conceal her true identity.
-
C.
Dora
Dora is a character in Jim Jarmusch’s film "Broken Flowers," known as one of Don Johnston’s former girlfriends whom he visits while searching for the mother of his alleged son.
-
D.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
E.
Tamsin
Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
- 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: Tiger Lily Triple: [Peter Pan Live!, character, Tiger Lily]
Generated description
Tiger Lily is the proud and brave princess of the Native tribe in the Peter Pan story, known for her loyalty to Peter and her spirited defiance of Captain Hook.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiger Lily Target entity description: Tiger Lily is the proud and brave princess of the Native tribe in the Peter Pan story, known for her loyalty to Peter and her spirited defiance of Captain Hook.
-
A.
Dora Riparia
Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
-
B.
Mombi
Mombi is a wicked witch from L. Frank Baum’s Oz series, best known for usurping and enchanting Princess Ozma to conceal her true identity.
-
C.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
D.
Dora
Dora is a character in Jim Jarmusch’s film "Broken Flowers," known as one of Don Johnston’s former girlfriends whom he visits while searching for the mother of his alleged son.
-
E.
Tamsin
Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c28dbbc8190a0a0c20ec794e81a |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135b2500c8190aaf67b059ccbe3f1 |
completed | March 23, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69c13769a4bc81908d45d371e77f8d32 |
completed | March 23, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c138247e2c8190b6c2aabbd36ad9c0 |
completed | March 23, 2026, 12:55 p.m. |
Created at: March 22, 2026, 4:14 p.m.