Triple
T1747558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shape of Water |
E38368
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Giles
Giles is a lonely, aging gay artist and Elisa's compassionate neighbor and confidant in Guillermo del Toro's film "The Shape of Water."
|
E195700
|
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: Giles | Statement: [The Shape of Water, character, Giles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giles Context triple: [The Shape of Water, character, Giles]
-
A.
Giles
Giles is the given name of Lytton Strachey, the influential English writer and critic associated with the Bloomsbury Group.
-
B.
Rowland
Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
-
C.
Edmund Breon
Edmund Breon was a Scottish character actor of the early 20th century, known for his supporting roles in British and American films, particularly during the silent and early sound eras.
-
D.
Anthony Skingsley
Anthony Skingsley was a senior Royal Air Force officer who rose to high command during the late 20th century, overseeing key aspects of the UK's air defense.
-
E.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
- 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: Giles Triple: [The Shape of Water, character, Giles]
Generated description
Giles is a lonely, aging gay artist and Elisa's compassionate neighbor and confidant in Guillermo del Toro's film "The Shape of Water."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Giles Target entity description: Giles is a lonely, aging gay artist and Elisa's compassionate neighbor and confidant in Guillermo del Toro's film "The Shape of Water."
-
A.
Giles
Giles is the given name of Lytton Strachey, the influential English writer and critic associated with the Bloomsbury Group.
-
B.
Rowland
Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
-
C.
Edmund Breon
Edmund Breon was a Scottish character actor of the early 20th century, known for his supporting roles in British and American films, particularly during the silent and early sound eras.
-
D.
Anthony Skingsley
Anthony Skingsley was a senior Royal Air Force officer who rose to high command during the late 20th century, overseeing key aspects of the UK's air defense.
-
E.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
- 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_69aa63ecda0c819091f81942a5bde31d |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e058948190939e936af8f0e221 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1a2122481909c7a3470e090af17 |
completed | March 8, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada23515d08190833ad1a35bb7a265 |
completed | March 8, 2026, 4:22 p.m. |
Created at: March 4, 2026, 7:31 p.m.