Triple
T16004384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samantha Shane |
E388175
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object |
Mick Canales
Mick Canales is a character in the 2012 science fiction naval warfare film "Battleship," portrayed as a wounded Army veteran who plays a key role in combating an alien invasion.
|
E1187626
|
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: Mick Canales | Statement: [Samantha Shane, ally, Mick Canales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mick Canales Context triple: [Samantha Shane, ally, Mick Canales]
-
A.
Joe Renzetti
Joe Renzetti is an American composer best known for his film scores, particularly in the horror genre.
-
B.
Ernie Fletcher
Ernie Fletcher is an American physician and Republican politician who served as the 60th governor of Kentucky from 2003 to 2007.
-
C.
Bill Nowlin
Bill Nowlin is a technology entrepreneur best known as a co-founder of National Instruments, a company specializing in automated test and measurement systems.
-
D.
Bill Nowlin
Bill Nowlin is an American music executive and co-founder of the influential independent folk and roots label Rounder Records.
-
E.
Mike Synar
Mike Synar was an American Democratic congressman from Oklahoma known for his strong advocacy of fiscal responsibility and government reform.
- 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: Mick Canales Triple: [Samantha Shane, ally, Mick Canales]
Generated description
Mick Canales is a character in the 2012 science fiction naval warfare film "Battleship," portrayed as a wounded Army veteran who plays a key role in combating an alien invasion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mick Canales Target entity description: Mick Canales is a character in the 2012 science fiction naval warfare film "Battleship," portrayed as a wounded Army veteran who plays a key role in combating an alien invasion.
-
A.
Joe Renzetti
Joe Renzetti is an American composer best known for his film scores, particularly in the horror genre.
-
B.
Ernie Fletcher
Ernie Fletcher is an American physician and Republican politician who served as the 60th governor of Kentucky from 2003 to 2007.
-
C.
Bill Nowlin
Bill Nowlin is a technology entrepreneur best known as a co-founder of National Instruments, a company specializing in automated test and measurement systems.
-
D.
Bill Nowlin
Bill Nowlin is an American music executive and co-founder of the influential independent folk and roots label Rounder Records.
-
E.
Mike Synar
Mike Synar was an American Democratic congressman from Oklahoma known for his strong advocacy of fiscal responsibility and government reform.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fe776c81908f7bf29ef064a6ba |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3dec0c0819099b9007ad0fc6fb4 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc49bfa088190a6291f560ca9bdb5 |
completed | May 9, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc538a5f0819097ea09f57d3cae35 |
completed | May 9, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:55 a.m.