Triple
T16563102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocket Companies, Inc. |
E402388
|
entity |
| Predicate | roleOfJayFarner |
P124070
|
FINISHED |
| Object | former Chief Executive Officer |
—
|
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: former Chief Executive Officer | Statement: [Rocket Companies, Inc., roleOfJayFarner, former Chief Executive Officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfJayFarner Context triple: [Rocket Companies, Inc., roleOfJayFarner, former Chief Executive Officer]
-
A.
roleOfJayFerguson
Indicates that the specified role or position is held or performed by Jay Ferguson.
-
B.
roleOfGuyBerryman
Indicates the specific role, position, or function that Guy Berryman holds in relation to another entity or context.
-
C.
roleOfGuyPatterson
Indicates that an entity serves as or holds the role associated with Guy Patterson in relation to another entity or context.
-
D.
roleOfJohn Fred Young
Indicates that John holds or performs the role associated with Fred Young.
-
E.
roleInHaroldAndKumarSeries
Indicates that an entity portrays a character in the Harold and Kumar film series.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576f757881909bfc6611361ed16d |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.