Triple
T15368321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catch .44 |
E367472
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tes
Tes is the tough, resourceful female protagonist at the center of the crime thriller film "Catch .44."
|
E1152827
|
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: Tes | Statement: [Catch .44, mainCharacter, Tes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tes Context triple: [Catch .44, mainCharacter, Tes]
-
A.
Teston
Teston is a small village in Kent, England, known for its rural character and location near the River Medway.
-
B.
Te
Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
-
C.
Tes Esat
Tes Esat is a 1969 avant-garde jazz album by trumpeter Alan Shorter, known for its experimental, free-form compositions and dark, atmospheric sound.
-
D.
TS
TS is the vehicle registration code assigned to vehicles registered in Tsageri Municipality in Georgia.
-
E.
TS
TS is the common abbreviation for Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
- 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: Tes Triple: [Catch .44, mainCharacter, Tes]
Generated description
Tes is the tough, resourceful female protagonist at the center of the crime thriller film "Catch .44."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tes Target entity description: Tes is the tough, resourceful female protagonist at the center of the crime thriller film "Catch .44."
-
A.
Teston
Teston is a small village in Kent, England, known for its rural character and location near the River Medway.
-
B.
Te
Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
-
C.
Tes Esat
Tes Esat is a 1969 avant-garde jazz album by trumpeter Alan Shorter, known for its experimental, free-form compositions and dark, atmospheric sound.
-
D.
TS
TS is the vehicle registration code assigned to vehicles registered in Tsageri Municipality in Georgia.
-
E.
TS
TS is the common abbreviation for Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b50703881909ca71c985bc1c7b5 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0cb1b9188190b0eb99661d26206f |
completed | May 9, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0d3182f08190abd463d921e1830e |
completed | May 9, 2026, 10:32 a.m. |
Created at: April 10, 2026, 3:18 a.m.