Triple
T6807901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alanna Heiss |
E156354
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Heiss
Heiss is the surname of Alanna Heiss, an influential American curator and founder of New York’s pioneering contemporary art institution MoMA PS1.
|
E619467
|
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: Heiss | Statement: [Alanna Heiss, familyName, Heiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heiss Context triple: [Alanna Heiss, familyName, Heiss]
-
A.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
-
B.
Hīt
Hīt is an ancient town in central Iraq, historically known for its bitumen springs and strategic location along the Euphrates River.
-
C.
Hitzacker
Hitzacker is a small historic town in Lower Saxony, Germany, known for its picturesque setting on the Elbe River and its traditional half-timbered architecture.
-
D.
Brennen
Brennen is a given name, typically used as a variant spelling of Brennan.
-
E.
Hartis
Hartis is a prominent Somali clan family that forms one of the major lineages within the broader Somali clan system.
- 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: Heiss Triple: [Alanna Heiss, familyName, Heiss]
Generated description
Heiss is the surname of Alanna Heiss, an influential American curator and founder of New York’s pioneering contemporary art institution MoMA PS1.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heiss Target entity description: Heiss is the surname of Alanna Heiss, an influential American curator and founder of New York’s pioneering contemporary art institution MoMA PS1.
-
A.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
-
B.
Hīt
Hīt is an ancient town in central Iraq, historically known for its bitumen springs and strategic location along the Euphrates River.
-
C.
Hitzacker
Hitzacker is a small historic town in Lower Saxony, Germany, known for its picturesque setting on the Elbe River and its traditional half-timbered architecture.
-
D.
Brennen
Brennen is a given name, typically used as a variant spelling of Brennan.
-
E.
Hartis
Hartis is a prominent Somali clan family that forms one of the major lineages within the broader Somali clan system.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30b56c48190a5b244ea7e0c669a |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71aa5411c81908d05bef3213b39f1 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b97125c81909f60a898d6bd4ebc |
completed | March 28, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c355b14819093909be7ee005e31 |
completed | March 28, 2026, 12:09 a.m. |
Created at: March 27, 2026, 2:16 p.m.