Triple
T71330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood Sign |
E1427
|
entity |
| Predicate | advertised |
P1258
|
FINISHED |
| Object | Hollywoodland real estate development |
—
|
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: Hollywoodland real estate development | Statement: [Hollywood Sign, advertised, Hollywoodland real estate development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advertised Context triple: [Hollywood Sign, advertised, Hollywoodland real estate development]
-
A.
commercialized
Indicates that something has been developed, marketed, or exploited for profit in a commercial context.
-
B.
promotes
chosen
Indicates that one entity actively supports, advances, or encourages the growth, adoption, or success of another entity or outcome.
-
C.
commercializedIn
Indicates that something has been brought to market or made available for commercial sale or use within a specified place or context.
-
D.
adopted
Indicates that one entity has legally taken another (often a child or animal) into its family or care as a permanent member.
-
E.
advises
Indicates that one entity provides guidance, recommendations, or counsel to another entity.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f6997c081908b202f937eb2b14f |
completed | Feb. 28, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69a24eab7f408190a8275cb82474f575 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.