Triple
T15440907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masters of the Universe (1987 film) |
E369895
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Teela
Teela is a warrior woman and ally of He-Man in the Masters of the Universe franchise, serving as a skilled fighter and protector of Eternia.
|
E1158108
|
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: Teela | Statement: [Masters of the Universe (1987 film), character, Teela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teela Context triple: [Masters of the Universe (1987 film), character, Teela]
-
A.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
B.
Shera
Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
-
C.
Tigana
Tigana is a French former professional footballer and manager, best known as a dynamic midfielder for clubs like Bordeaux and the French national team during the 1980s.
-
D.
Zanaga
Zanaga is a subgroup of the Sanhaja, a historic Berber tribal confederation of North Africa.
-
E.
Tausa
Tausa is a municipality in the Cundinamarca Department of Colombia, located in the Andean highlands north of Bogotá.
- 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: Teela Triple: [Masters of the Universe (1987 film), character, Teela]
Generated description
Teela is a warrior woman and ally of He-Man in the Masters of the Universe franchise, serving as a skilled fighter and protector of Eternia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teela Target entity description: Teela is a warrior woman and ally of He-Man in the Masters of the Universe franchise, serving as a skilled fighter and protector of Eternia.
-
A.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
B.
Shera
Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
-
C.
Tigana
Tigana is a French former professional footballer and manager, best known as a dynamic midfielder for clubs like Bordeaux and the French national team during the 1980s.
-
D.
Zanaga
Zanaga is a subgroup of the Sanhaja, a historic Berber tribal confederation of North Africa.
-
E.
Tausa
Tausa is a municipality in the Cundinamarca Department of Colombia, located in the Andean highlands north of Bogotá.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a9b9188190a3f5de3ee18c5d3e |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff22e2f298819085c90e28acafef44 |
completed | May 9, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff240af68c8190af88834d97a42afb |
completed | May 9, 2026, 12:09 p.m. |
Created at: April 10, 2026, 3:21 a.m.