Triple
T17327478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H. W. Plainview |
E420722
|
entity |
| Predicate | relationshipWithDanielPlainview |
P127019
|
FINISHED |
| Object | initially close |
—
|
LITERAL FINISHED |
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: initially close | Statement: [H. W. Plainview, relationshipWithDanielPlainview, initially close]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithDanielPlainview Context triple: [H. W. Plainview, relationshipWithDanielPlainview, initially close]
-
A.
relationshipToWalterBurns
Indicates the specific nature of the relationship an entity has with Walter Burns, such as familial, professional, or social connection.
-
B.
relationshipToBreeDaniels
Indicates a relationship that an entity has specifically to Bree Daniels, without specifying the type or nature of that relationship.
-
C.
relationshipToMaJoad
Indicates the specific familial or interpersonal relationship an entity has with Ma Joad.
-
D.
relationshipToJoadFamily
Indicates the specific familial or social connection an entity has with members of the Joad family.
-
E.
relationshipToElaineBenes
Indicates a person's specific relational connection (such as friend, partner, or family member) to Elaine Benes.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d321c881909e63a6870b152c8c |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.