Triple
T371300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood and Highland Center |
E8274
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
TrizecHahn
TrizecHahn was a major North American real estate investment and development company known for large-scale commercial and mixed-use projects.
|
E46491
|
NE FINISHED |
How this triple was built (4 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: TrizecHahn | Statement: [Hollywood and Highland Center, developer, TrizecHahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TrizecHahn Context triple: [Hollywood and Highland Center, developer, TrizecHahn]
-
A.
Zierer
Zierer is a German amusement ride manufacturer known for producing family-friendly roller coasters and classic flat rides for theme parks worldwide.
-
B.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
C.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
D.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
E.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TrizecHahn Triple: [Hollywood and Highland Center, developer, TrizecHahn]
Generated description
TrizecHahn was a major North American real estate investment and development company known for large-scale commercial and mixed-use projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TrizecHahn Target entity description: TrizecHahn was a major North American real estate investment and development company known for large-scale commercial and mixed-use projects.
-
A.
Zierer
Zierer is a German amusement ride manufacturer known for producing family-friendly roller coasters and classic flat rides for theme parks worldwide.
-
B.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
C.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
D.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
E.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
- F. None of above. chosen
Provenance (5 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec00785481908551fc3571fcca47 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3ecad6eb48190ba7d4f756318e7cd |
completed | March 1, 2026, 7:37 a.m. |
| NEDg | Description generation | batch_69a3ed14fc00819093bde0dfdb412df5 |
completed | March 1, 2026, 7:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3edc103d48190a25a0539eee9a0b7 |
completed | March 1, 2026, 7:41 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.