Triple
T35856799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Benson (The Day the Earth Stood Still) |
E1036530
|
entity |
| Predicate | knowsCharacterAs |
P138329
|
FINISHED |
| Object | Mr. Carpenter |
—
|
NE NERFINISHED |
How this triple was built (2 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: Mr. Carpenter | Statement: [Bobby Benson (The Day the Earth Stood Still), knowsCharacterAs, Mr. Carpenter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowsCharacterAs Context triple: [Bobby Benson (The Day the Earth Stood Still), knowsCharacterAs, Mr. Carpenter]
-
A.
knowsCharacter
Indicates that one entity is aware of, familiar with, or has knowledge about a particular character.
-
B.
notableCharacterName
chosen
Indicates that the subject has a notable or significant character whose name is given by the object.
-
C.
sameFictionalPersonAs
Indicates that two entities represent the same fictional character, even if they appear in different works, versions, or contexts.
-
D.
introducedByCharacter
Indicates that one character is responsible for presenting, bringing into the story, or otherwise causing another entity to be first revealed or made known.
-
E.
knownForRoleIn
Indicates that an entity is recognized or notable for performing a particular role in a specific work, project, or context.
- F. None of above.
Provenance (3 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.