Triple
T28670445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. John Montague |
E725703
|
entity |
| Predicate | relationshipToEleanorVance |
P202081
|
FINISHED |
| Object | research leader |
—
|
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: research leader | Statement: [Dr. John Montague, relationshipToEleanorVance, research leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToEleanorVance Context triple: [Dr. John Montague, relationshipToEleanorVance, research leader]
-
A.
relationshipToJaneRizzoli
Indicates the specific familial, social, or professional relationship that one entity has to Jane Rizzoli.
-
B.
relationshipToDrWatson
Indicates the specific personal or professional relationship an entity has with Dr. Watson.
-
C.
relationshipWithEnola
Indicates that an entity has some form of relationship, connection, or association with Enola.
-
D.
relationshipToCatherine
Indicates the specific familial, social, or interpersonal connection that one entity has to the person named Catherine.
-
E.
relationshipWithSherlock
Indicates that an entity has a specified type of personal or professional relationship with Sherlock.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a004d0b46148190bcec4ea67acfe170 |
completed | May 10, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_6a004c92283081909f229c1720af155a |
completed | May 10, 2026, 9:14 a.m. |
| PDg | Predicate description generation | batch_6a004d0a95548190ac822cd1d54edf42 |
completed | May 10, 2026, 9:16 a.m. |
Created at: April 28, 2026, 5:03 a.m.