Triple
T34574073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Boulevard |
E887702
|
entity |
| Predicate | nameHonorsInCurrentForm |
P46466
|
FINISHED |
| Object | Martin Luther King Jr. |
—
|
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: Martin Luther King Jr. | Statement: [Grand Boulevard, nameHonorsInCurrentForm, Martin Luther King Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameHonorsInCurrentForm Context triple: [Grand Boulevard, nameHonorsInCurrentForm, Martin Luther King Jr.]
-
A.
nameHonors
chosen
Indicates that a name is given to honor, commemorate, or pay tribute to a particular entity.
-
B.
hasAwardNameForm
Indicates that an award is associated with a specific textual or formal representation of its name.
-
C.
namedInHonorBy
Indicates that one entity has been used as the namesake or dedicatee by another entity, signifying that the latter is named in honor of the former.
-
D.
receivedHonorificNameFor
Indicates that an entity was given or acquired a particular honorific name or title in recognition of some status, role, or achievement.
-
E.
alsoHonoredAs
Indicates that an entity is additionally recognized or celebrated under another title, role, or form of honor beyond its primary designation.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72097243c8190a2ee6b2f1bc22585 |
completed | May 3, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:03 a.m.