Triple
T1349210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanco v. Haslam |
E28842
|
entity |
| Predicate | plaintiff |
P660
|
FINISHED |
| Object |
Vanessa Palazzo
Vanessa Palazzo is an LGBT rights advocate known for being one of the plaintiffs challenging Tennessee’s same-sex marriage ban in the landmark case Tanco v. Haslam.
|
E176058
|
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: Vanessa Palazzo | Statement: [Tanco v. Haslam, plaintiff, Vanessa Palazzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Palazzo Context triple: [Tanco v. Haslam, plaintiff, Vanessa Palazzo]
-
A.
Vanessa Tolosa
Vanessa Tolosa is a biomedical engineer and neurotechnology researcher known for her work on implantable brain–computer interface devices and contributions to companies like Neuralink.
-
B.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
C.
Melissa Agretti
Melissa Agretti is a central, scheming heiress character from the 1980s American prime-time soap opera "Falcon Crest."
-
D.
Maria Scicolone
Maria Scicolone is an Italian television personality, author, and singer, also known as the younger sister of actress Sophia Loren.
-
E.
Lilia Vetti
Lilia Vetti was the wife of famed French singer and actor Tino Rossi.
- 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: Vanessa Palazzo Triple: [Tanco v. Haslam, plaintiff, Vanessa Palazzo]
Generated description
Vanessa Palazzo is an LGBT rights advocate known for being one of the plaintiffs challenging Tennessee’s same-sex marriage ban in the landmark case Tanco v. Haslam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanessa Palazzo Target entity description: Vanessa Palazzo is an LGBT rights advocate known for being one of the plaintiffs challenging Tennessee’s same-sex marriage ban in the landmark case Tanco v. Haslam.
-
A.
Vanessa Tolosa
Vanessa Tolosa is a biomedical engineer and neurotechnology researcher known for her work on implantable brain–computer interface devices and contributions to companies like Neuralink.
-
B.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
C.
Melissa Agretti
Melissa Agretti is a central, scheming heiress character from the 1980s American prime-time soap opera "Falcon Crest."
-
D.
Maria Scicolone
Maria Scicolone is an Italian television personality, author, and singer, also known as the younger sister of actress Sophia Loren.
-
E.
Lilia Vetti
Lilia Vetti was the wife of famed French singer and actor Tino Rossi.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c268745481908be649526c18e558 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3083a3748190b2404ef5edf90fd7 |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad31dcdef0819093276857b247ecea |
completed | March 8, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad32f287008190b66c9e626a0f39f1 |
completed | March 8, 2026, 8:27 a.m. |
Created at: March 1, 2026, 7:56 p.m.