Triple
T38402538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankel |
E900939
|
entity |
| Predicate | highestOfficialRating |
P63339
|
FINISHED |
| Object | 140 |
—
|
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: 140 | Statement: [Frankel, highestOfficialRating, 140]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestOfficialRating Context triple: [Frankel, highestOfficialRating, 140]
-
A.
highestRanking
Indicates that one entity holds the top or most senior rank relative to a set of other entities.
-
B.
highestRankIn
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
C.
eloHighestRanking
chosen
Indicates that one entity holds the highest Elo rating or ranking within a specified group or context relative to other entities.
-
D.
highestNorm
Indicates that the subject entity has the greatest norm (e.g., magnitude or size under a given norm) among a specified set of entities.
-
E.
hasHighest
Indicates that one entity possesses the greatest value, rank, or level in a specified attribute or set compared to all others.
- 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_69f76e6071a081909eea7a670d21420c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 3, 2026, 4:31 p.m.