Triple
T38477284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cortex shrinks the Earth |
E915580
|
entity |
| Predicate | titleContainsCharacterName |
P201800
|
FINISHED |
| Object | Cortex |
—
|
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: Cortex | Statement: [Cortex shrinks the Earth, titleContainsCharacterName, Cortex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleContainsCharacterName Context triple: [Cortex shrinks the Earth, titleContainsCharacterName, Cortex]
-
A.
titleContainsPronoun
Indicates that the title of an entity includes at least one pronoun.
-
B.
titleCharacterString
Indicates that one entity is the textual string representing the title associated with another entity.
-
C.
characterGivenName
Indicates that a specified given (first) name is assigned to or borne by a particular character.
-
D.
containsCharacter
Indicates that one entity includes a specific character as part of its content or composition.
-
E.
titleCharacterNamedAfter
Indicates that a work’s title character is named after, or shares their name with, another specific entity.
- F. None of above. chosen
Provenance (4 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a002249ee388190a9501ee7630dc658 |
completed | May 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_6a002189273881909b6b687e2d61f5b1 |
completed | May 10, 2026, 6:11 a.m. |
| PDg | Predicate description generation | batch_6a0022494be881908bdf945d2393a40f |
completed | May 10, 2026, 6:14 a.m. |
Created at: May 3, 2026, 4:31 p.m.